Registration fee includes the access to the sessions, conference material, and coffee breaks, as well as a welcome cocktail on Feb. 5, and lunches from Feb. 6-8, 2023. Registration:https://sites.google.com/bcamath.org/dsabns2023/dsabns-2023-registration/registration-form
Want to do research in computational and systems biology in Edinburgh? Join us to build algorithms & mathematical models to predict changes in tissue state from complex multi-modal data, as part of an international Wellcome Leap collaboration.
Apply for postdoc vacancy by Feb 10: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/6116/?utm_medium=jobshare
A second post will be available with collaborators at Harvard Medical School, Department of Systems Biology – get in touch if interested!
A Study Group in Mathematical Modelling - Developing the next generation of lung function measurement
The BIOREME network have teamed up with the Insigneo Institute and the Knowledge Transfer Network – Industrial Maths to host a 3.5 day study group. We invite academic colleagues from PhD candidate level and above to participate in this exciting opportunity.
Please find details below. Where: University of Sheffield When: 17 – 20 April 2023
Registration deadline: 24 March 2023 Cost: Registration is free
Challenge areas • Lung imaging and functional measurement • Remote monitoring • Breath content measurement and biomarker discovery
Benefits of taking part • Hands-on experience with real-world industry/clinical challenges • Discover wider applications of your skills • Networking opportunities with academics and industry/clinical reps • Potential for new inter-disciplinary collaborations and follow-up research • Experience communicating research to a wider audience.
Who can participate? PhD candidates, Post-Docs and senior academic researchers with backgrounds in all but not limited to the following: • Statistical methods • Biomechanics • Biophysics • Computational modelling • Medical imaging • Lung function/ breath content data
Find out more and register here: bit.ly/SGtheme2
The Mathematical & Computational Biology group at the CRM is looking for a Postodctoral Research Associate in Mathematical Modelling of Epigenetic Regulation to join the project Heterogeneity and noise as engines OF cancer evolution: A multiscale dynamical systems approach (HENOCANDYN). This contract is envisaged to start in September 1st 2023 and will last until August 31st 2025.
Applications will be accepted until March 31st 2023.
TASKS Taking into account the known feedbacks between the activities of the different epigenetic modifiers, we will analyze the conditions for the emergence of rugged (functional) epigenetic landscapes. We will pay special attention to the conditions on the interaction matrix arising from the chromatin 3D structure, which can be obtained experimentally by means of HiC-seq data. Use dimension reduction methodology to produce low-dimensional descriptions of the epigenetic landscapes models to analyze the effects of heterogeneous metabolic cofactors and intrinsic noise on the global transitions affecting the ELs in cancer and ageing Use the above models to predict, in the presence of heterogeneity and noise, the ability of metabolic modifiers (NAD boosters, metformin, etc.) to restore functionality to eroded Els. We will also investigate these issues in the context of ageing and DNA damage under low radiation conditions using the resources of the ICTS at “Laboratorio Subterraneo de Canfranc” (LSC)
REQUIREMENTS Candidates should have (or be close to obtaining) a PhD in Mathematics, Physics, or a related discipline with a strong mathematical background. An interest in multidisciplinary research is essential Expertise in applied dynamical systems, stochastic processes, and/or statistical mechanics, including numerics and simulation.
ASSESSABLE CONDITIONS Publication record Fluency in english and communication skills Capacity to work as part an interdisciplinary team
CONTRACT DETAILS Expected starting date: 01/09/2023 Duration of the contract until 31/08/2025 Salary as established by collective agreement
EVALUATION PROCESS AND CRITERIA The selection process will be evaluated by the CRM Director or the CRM deputy director, Profs. Tomas Alarcon and Josep Sardanyes, as principal investigators of the project, and Prof. Helen Byrne, University of Oxford, as a collaborator in the project.
This process consists in: 1) Admission of candidates: applicants must submit a curriculum vitae and a cover letter by email at rrhh@crm.cat, as well as address scientific inquiries to talarcon@crm.cat, until 31/03/2023, indicating the reference code of the offer. The requests referred from another portal, other than the CRM job offers section and the instructions contained therein, will not be accepted. 2) Shortlist: assessment of the fulfilment of the minimum requirements of the offer. 3) Selection: evaluation of the shortlisted candidates by a total score according to objective criteria. 4) Final decision: If we find the right person, the resolution will be formally communicated and will be published in the CRM careers section.
https://crm.cat/call/65/postodctoral-research-associate-in-mathematical-modelling-of-epigenetic-regulation-ref-2023-003-p04480-/71/
Epigenetic regulation can be defined as the ability of the genome to remodel itself to facilitate (or hinder) the access of transcription factors and gene expression machinery to their targets. It has long been recognised as a key player in development, as a means to silence/activate large sections of the genome in a timely fashion. More recently, epigenetic regulation has emerged as a similarly important factor in diseases such as cancer, where dysregulation of epigenetic mechanisms leads to loss of cell identity and abnormal behaviour. Loss of integrity of epigenetic landscape is also involved in cellular senescence and ageing. Despite its importance and the wealth of data that has accumulated in recent years, many of the mechanisms that are involved in genome remodelling and induced by epigenetic regulation, remain poorly understood.
The aim of this project is to formulate mechanistic, mathematical models that describe how large-scale patterns of epigenetic marks form, and how the resulting patterns affect genome structure and remodelling within the nucleus. We are particularly interested in how exogeneous factors (such as the accumulation of DNA damage) interfere with such landscapes: what are the mechanisms involved in large-scale transitions; and what is their effect in genome reorganisation? This project will be carried out in close collaboration with the Metabolism and Cancer group, ICO-IDIBGI, Girona, and with Prof. Helen Byrne, University of Oxford.
We seek a candidate to fill this postdoc position within the HENOCANDYN project (ref PID2021-127896OB-I00). Candidates should have (or be close to obtaining) a PhD in Mathematics, Physics, or a related discipline with a strong mathematical background. An interest in multidisciplinary research is essential, as is expertise in applied dynamical systems, stochastic processes, and/or statistical mechanics, including numerics and simulation.
The successful candidate will join a thriving research group within the Centre de Recerca Matematica (CRM), with a wide range of research interests and projects within Mathematical Biology. The group has an extensive network of experimental and theoretical collaborators in Barcelona and further afield. CRM, which was recently awarded the “Maria de Maeztu” label of excellence, also offers a wide range of training opportunities for early career researchers.
Applications from female candidates are particularly encouraged. Please contact Tomas Alarcon (talarcon@crm.cat) for any queries regarding this position.
Links: https://www.icrea.cat/Web/ScientificStaff/tomas-alarcon-210760 https://sites.google.com/site/tomasalarc/ https://idibgi.org/en/grups/metabolisme-i-cancer/ https://www.maths.ox.ac.uk/people/helen.byrne https://www.crm.cat/person/37/sardanyes-cayuela-josep/ https://sites.google.com/site/nonlineardynamicsevolutionlab/home
We are organising the mini-symposium
MS17 "Multi-scale modelling of biomechanical systems and their simulation using neural networks"
(see https://iccb2023.conf.tuwien.ac.at/scientific-programme/mini-symposia/ for the abstract) as part of the forthcoming 10th International Conference on Computational Bioengineering (ICCB 2023), September 20-22, 2023, Vienna, Austria (https://iccb2023.conf.tuwien.ac.at).
We kindly invite readers to submit a relevant abstract for a presentation in this mini-symposium (time slots of 20 minutes).
Instructions and access to the online submission system can be found at https://iccb2023.conf.tuwien.ac.at/scientific-programme/abstract-submission
Please select that your presentation is associated with our mini-symposium MS17.
The submission deadline is March 31, 2023.
Further information about the conference can be found at the web site https://iccb2023.conf.tuwien.ac.at/
Raimondo Penta Alf Gerisch
The next MPDEE conference will be held in Marseille Luminy (CIRM) from 24th to 28th April.
You can find information on the CIRM webpage here : https://conferences.cirm-math.fr/2769.html
Please note the following deadlines: Deadline for abstract submission (oral or poster) : 1st March Deadline for registration : 15th March
There is no registration fee but you'll have to pay your accommodation directly to the CIRM when you'll be there. The cost is : 105€/night for a simple room 95€/night for a double room It includes all the accommodation (room + meals).
This conference aims to bring mathematicians interested in applications in ecology and evolution together. This field is increasing very fast, the conference will allow to present some overview on new applications with plenary speakers (2 per day) and to present different research results with short talks (1/2 hour each). Some discussion sessions will allow to initiate or enhance collaborations. The MPDEE-23 program will consist of plenary talks (1h) and contributed talks (30 minutes) and a poster session. The presentations are expected to be mostly grouped around the above subject areas. However, we will be ready and willing to consider any submission of a potentially high scientific merit which does not exactly fall into the list of topics proposed in the Scientific Content section. We already organised MPDEE in the CIRM in 2016 and it has been a successful event. We also organized the conference in 2021, and even in remote conditions, we could have a nice conference with around 100 participants from several countries.
If you have any question, please contact JC Poggiale (jean-christophe.poggiale@univ-amu.fr)
Two PhD positions are available to join the Laboratory of Quantitative Global Change Ecology, (https://www.utsc.utoronto.ca/labs/molnar/) in the Department of Ecology and Evolutionary Biology at the University of Toronto (https://eeb.utoronto.ca/education/graduate/), Scarborough campus (https://www.utsc.utoronto.ca/biosci/), starting fall 2023.
Both positions are at the interface of disease ecology, global change ecology and ecological modelling, and include theoretical, empirical, and applied aspects. Parasite ranges, transmission seasons, transmission pathways, and host-parasite dynamics are shifting worldwide due to the impacts of climate change and land use change, with substantial implications for ecosystem, wildlife, and public health. Both PhD students will work to (i) develop new modelling frameworks for understanding, predicting, and mitigating climate change and land use change impacts on the population and community dynamics of wildlife, their interactions with parasites, and the spread of disease, and (ii) test and apply these frameworks in select model systems, ranging from the High Arctic to Central America (for some examples of our study systems, see https://www.utsc.utoronto.ca/labs/molnar/research/).
Successful applicants will join a highly interdisciplinary environment where they will collaborate closely with both modelers and field ecologists, and where they will have ample opportunity to shape their projects into new directions. Applicants should have strong quantitative, organizational, and writing skills, and should be highly motivated to develop/work with ecological models to help address global change challenges.
To apply, please email me (peter.molnar@utoronto.ca) (i) your CV, (ii) a copy of your transcripts, and (iii) a one-page cover letter that outlines your academic background, qualifications, and interest in the advertised positions. Applicants with backgrounds in ecology, parasitology, or related fields, and/or with backgrounds in mathematics, statistics, or related fields, will be considered. A previous MSc degree is an asset, but direct-entry admission from a BSc is also possible for excellent candidates with research experience.
Both positions are fully funded through a Natural Sciences and Engineering Research Council of Canada (NSERC) grant, and are open to both domestic and international applicants, offering competitive stipends; please see https://eeb.utoronto.ca/education/graduate/ for details on admission, stipends, and the PhD program in general.
We value diversity and strongly encourage candidates from all backgrounds to apply.
About the job Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.
Biotechnology Research Centre The Biotechnology Research Center (BRC), part of the Technology Innovation Institute (TII), was established to contribute to UAE research priorities across several emerging fields, utilizing molecular, cellular and digital technologies to develop the human expertise and biotech sovereignty of the emirates. The BRC is addressing unmet needs in advanced bio-robotics, in environmental applications such as new desalination and agricultural technologies, and it aims to enable better healthcare outcomes through molecular and genomic strategies, and AI enhanced bioinformatics and biomedicine. Job Responsibilities: Develop PK/PD or PB/PK or QSP mathematical models to describe the ADME effects of drugs. Use available methods for parameter estimation, sensitivity analysis, assessment of model credibility. Collaborate with the biotech center (BRC) wet-lab facilities to request/conduct bio-chemical experiments necessary to set up and to validate the pharmacometrics models. Be involved in scouting activities in local/international pharmaceutical companies to identify exploitable results. Contribute to securing relevant Intellectual Property on the team’s projects Assist team members with constructive criticisms of manuscripts preparation, rehearsals of talks, etc. Contribute to team meetings by reporting ongoing works and giving feedback to colleagues on their progress reports. Maintain a technology watch on emerging biotech trends in his/her area of expertise and disseminate the relevant information to team members. Contribute to outreach activities directed to the public, during science fairs, students’ visits, and for relevant public events. Generally, contribute to fostering a friendly and productive group relationship.
Requirements: Minimum of 2 years of research/industry experience in the development of PK/PD, PB/PK or QSP models Good level knowledge of specific pharmacometrics and systems pharmacology software tools (e.g., NONMEM, PKSIM, MonolixSuite) Basic understanding of molecular and cell biology Good level knowledge of computer programming in a high-level environment (e.g., R, Matlab, Python) is a plus Good-level knowledge clinical trial pharmacometrics Good track record of scientific publications Prior work with regulatory filings in a pharmaceutical company is a plus Demonstrable abilities for effective English written and oral communication.
Qualifications: PhD in fundamental pharmacokinetics, pharmacokinetic-pharmacodynamic modeling, and pharmacometrics principles. Master’s Degree in a relevant field preferred. At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.
Please contact Andrea Tortosa (andrea.tortosa@tii.are) for candidature or further info.
Biotechnology Research Centre The Biotechnology Research Center (BRC), part of the Technology Innovation Institute (TII), was established to contribute to UAE research priorities across several emerging fields, utilizing molecular, cellular and digital technologies to develop the human expertise and biotech sovereignty of the emirates. The BRC is addressing unmet needs in advanced bio-robotics, in environmental applications such as new desalination and agricultural technologies, and it aims to enable better healthcare outcomes through molecular and genomic strategies, and AI enhanced bioinformatics and biomedicine. Responsibilities: Perform statistical analysis on clinical/medical/biological data pertaining disease progress with the aim of predict disease outcome (i.e., with prognostic value). Use available methods for multivariate analysis for the stratification of patients. Collaborate with the biotech center (BRC) wet-lab facilities to request/conduct experiments at the cell or molecular (i.e., gene/protein) level to validate statistical/analytical findings. Assist in scouting activities in local/international clinics or pharmaceutical companies to identify exploitable results. Contribute to securing relevant Intellectual Property on the team’s projects Assist team members with constructive criticisms of manuscripts preparation, rehearsals of talks, etc. Contribute to team meetings by reporting ongoing works and giving feedback to colleagues on their progress reports. Maintain a technology watch on emerging biotech trends in his/her area of expertise and disseminate the relevant information to team members. Contribute to outreach activities directed to the public, during science fairs, students’ visits, and for relevant public events. Generally, contribute to fostering a friendly and productive group relationship Requirements: Minimum of 2 years of experience in conducting research in the use/development of mathematical and statistical methods to perform analysis of clinical/biolab data Basic understanding of cell and molecular biology Good level knowledge of computer programming in a high-level language (e.g., Python) and/or in a high-level programming environment (e.g., R, Matlab/Octave, Mathematica) Knowledge of Machine Learning methods and libraries is a plus Good track record of scientific publications Demonstrable abilities for effective English written and oral communication.
Qualifications: PhD in Data Science, Statistics, Mathematics or related field. Master’s Degree in a relevant field preferred. At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.
Biotechnology Research Centre The Biotechnology Research Center (BRC), part of the Technology Innovation Institute (TII), was established to contribute to UAE research priorities across several emerging fields, utilizing molecular, cellular and digital technologies to develop the human expertise and biotech sovereignty of the emirates. The BRC is addressing unmet needs in advanced bio-robotics, in environmental applications such as new desalination and agricultural technologies, and it aims to enable better healthcare outcomes through molecular and genomic strategies, and AI enhanced bioinformatics and biomedicine. Responsibilities: Develop disease specific mathematical/computational models to describe the disease progress. Use available methods for parameter estimation, sensitivity analysis, assessment of model credibility. Collaborate with the biotech center (BRC) wet-lab facilities to request/conduct experiments at the cell level to set up and validate computational methods. Assist in scouting activities in local/international pharmaceutical companies to identify exploitable results. Contribute to securing relevant Intellectual Property on the team’s projects Assist team members with constructive criticisms of manuscripts preparation, rehearsals of talks, etc. Contribute to team meetings by reporting ongoing works and giving feedback to colleagues on their progress reports. Maintain a technology watch on emerging biotech trends in his/her area of expertise and disseminate the relevant information to team members. Contribute to outreach activities directed to the public, during science fairs, students’ visits, and for relevant public events. Generally, contribute to fostering a friendly and productive group relationship. Requirements: Minimum of 2 years of experience in conducting research in the development of mathematical models of biological systems Basic understanding of cell biology Good level knowledge of computer programming in a low-level language (e.g., C, C++, Fortran) or in a high-level programming environment (e.g., R, Matlab, Mathematica) Good-level knowledge of libraries for numerical resolution of differential equations Good track record of scientific publications Demonstrable abilities for effective English written and oral communication.
Qualifications: PhD in Physics, Mathematics or related field. Master’s Degree in a relevant field preferred. At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.
Biomath is an international series of conferences devoted to recent research in life sciences based on applications of mathematics as well as mathematics applied to or motivated by biological studies. It is a multidisciplinary meeting forum for researchers who develop and apply mathematical and computational tools to the study of phenomena in the broad fields of biology, ecology, medicine, biophysics, biochemistry, pharmacokinetics, chemoinformatics, biotechnology, bioengineering, environmental science, etc.
What does Biomath 2023 offer • Presentations by top class keynote speakers • Opportunity to share your research via a contributed talk, a poster or both. • Opportunity to publish in the journal Biomath (SJR 2021: 0.246, Scopus, DOAJ, MathSciNet, zbMATH), https://biomath.math.bas.bg/biomath/index.php/biomath • Opportunity to meet and interact with researchers in this interdisciplinary area, build links, establish collaborative networks. • School for Young Scientists for kick starting an academic career in Biomathematics. • Research stimulating environment in the setting of a pleasant and a care-free ambiance of a Black Sea resort. • Lots of history going back millennia, unique local culture and cuisine.
Conference language: English Conference website: www.biomath.bg/2023
This in-person workshop aims to bring together researchers in the field of epidemics with different backgrounds (mathematicians, physicists, computer scientists, engineers, and biologists) to present current problems as well as potential avenues of future research in epidemiology. Possible topics covered in the workshop are, among others: capturing human behaviour in epidemic modelling, outbreak analysis, epidemics on metapopulation, non-Markovian epidemic models, challenging modelling problems, etc.
This event will be an exploratory workshop with discussions after each talk and talks that move away from closed presentations about already published research. We think that this format will enrich the attendees and the other participants. There will be room for poster presentations.
If interested, please submit an abstract of 2-3 pages through the website https://sites.google.com/view/epimod-girona2023/ .
ICIAM 2023, the 10th International Congress on Industrial and Applied Mathematics, will be held at Waseda University, Tokyo, Japan on August 20-25, 2023. https://iciam2023.org The call for minisymposia has been announced. The closing date for submissions of proposals is December 23, 2022. For more details, please see "Call for Minisymposia": https://iciam2023.org/1030 On the same webpage, the call for contributed talks has been also announced. Contact address: Shin'ichi Oishi Congress Director, ICIAM 2023 Professor, Waseda University, Tokyo, Japan e-mail: oishi@waseda.jp Secretary e-mail: secretary@iciam2023.org
We would like to inform you the following three important topics of ICIAM 2023: The 10th International Congress on Industrial and Applied Mathematics, Waseda University, Tokyo, Japan, August 20-25, 2023 https://iciam2023.org 1. Minisymposium Proposals/Contributed Talks deadline extended 2. Call for Posters 3. Financial Support 1. Minisymposium Proposals/Contributed Talks deadline extended Due to many requests, the deadline for abstract submission of minisymposium proposals and contributed talks for ICIAM 2023 has been extended to February 20, 2023. Calls for Minisymposia and Contributed Talks have been announced: https://iciam2023.org/1030 * Conference Format Every meeting at ICIAM 2023 will be held at Waseda University *in person*, and the conference program will be arranged in Japan Standard Time. For participants who have to attend the conference online for appropriate reasons, all conference rooms are capable of hybrid-style meetings. * Minisymposia What is a Minisymposium: A minisymposium is composed of one or a few sessions (up to three or four sessions) of coordinated presentations on a single topic of interest and importance in industrial and applied mathematics. Each session within a minisymposium should include four presentations in two hours. Each speaker should be allotted 25 minutes for their presentation, with an additional 5 minutes for discussion. Important Dates: All deadlines are at midnight AoE (Anywhere on Earth). - Closing date for submissions of proposals: February 20, 2023 (extended) - Acceptance notification for proposals: within one month after submission of each proposal - Closing date for submissions of abstracts from speakers: April 20, 2023 * Contributed Talks What is a Contributed Talk: Contributed talks in lecture format are invited in all areas consistent with the congress themes covering topics in industrial and applied mathematics. A contributed talk is a 15-minute oral presentation, with additional 5 minutes for discussion. Important Dates: All deadlines are at midnight AoE (Anywhere on Earth). - Closing date for submissions: February 20, 2023 (extended) - Notification of decisions: within two months after submission For more details for minisymposia and contributed talks, please see "Calls for Minisymposia and Contributed Talks": https://iciam2023.org/1030 2. Call for Posters Contributed presentations in poster format are invited in all areas consistent with the congress themes. The author that intends to present a poster at ICIAM 2023 must submit a title and a brief abstract not to exceed 75 words. Submission: Contributed presentations in poster format can be submitted via https://iciam2023.org/1225 Categories: Onsite poster presentation submission has two categories: Applied Mathematics and Industrial Mathematics. Even if you give an oral talk in the congress, you can submit one poster for Applied Mathematics and one poster for Industrial Mathematics, respectively. Important Dates: All deadlines are at midnight AoE (Anywhere on Earth). - Submissions of Posters open on January 10, 2023 - Closing date for submissions of posters: April 20, 2022 - Acceptance notification for posters: within two weeks after submission of each poster For more details for posters, please see "Call for Posters": https://iciam2023.org/1030 3. Financial Support This program is addressed to researchers of any nationality and professional situation needing financial support to attend the ICIAM 2023 Tokyo Congress. Grants will be awarded by the Financial Support Committee. Preference will be given to applicants who plan to give a presentation (oral and poster) at the congress. ICIAM 2023 Tokyo provides financial support for - FS1：Financial Support Program for Registration Fee - FS2：Financial Support Program for Travel Support You can apply both FS1 and FS2. Note that there are possibilities that an application for FS1 is accepted but that for FS2 is rejected due to many requests. Even in such a case, the presentation should not be canceled, since the presentation can be given online. Important Dates: All deadlines are at midnight AoE (Anywhere on Earth). * FS1 - Application open: December 1, 2022 - Closing date for the submission: February 20, 2023 - Date to start notification of decisions: December 1, 2022 - Date to terminate notification of decisions: April 10, 2023 * FS2 - Application open: January 20, 2023 - Closing date for the submission: March 20, 2023 - Date to start notification of decisions: April 1, 2023 - Date to terminate notification of decisions: April 10, 2023 For more details, please see "Financial Support": https://iciam2023.org/576 We are looking forward to your contribution! With best regards, Shin'ichi Oishi ICIAM2023 Congress Director Professor, Waseda University, Tokyo, Japan
The aim of this workshop is to bring together experts from different communities to cover the investigation of diffusive systems from several viewpoints: analytically, combining methods and techniques from Partial Differential Equations (PDEs) and dynamical systems to derive and analyse mathematical models for the applied phenomena; numerically, reviewing the most recent techniques and software for the computation of bifurcation diagrams and continuation with respect to the systems’ parameters; and, last but not least, from the applied — in particular biological — viewpoint: a constant exchange of knowledge between the theoretical investigations and the experimental data is in fact crucial in order to advance the research in this area.
Our speakers will illustrate the most recent advancements in these fields, and foster the creation of new research directions with a concluding description of three open research questions aimed at colleagues working in fields different from their own. This will allow researchers with different backgrounds to learn ultimate techniques, connect with experts from various areas, and collaborate with fellow participants to produce new, cutting-edge research.
Further information will follow in due course.
Copyright © 2019 ESMTB - European Society for Mathematical and Theoretical Biology. All Rights Reserved
Read our Privacy Policy | Contact ESMTB at info@esmtb.org | Website maintained by Bob Planqué and Elisenda Feliu
