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• Postdoc positions in Edinburgh and Boston

  • When
    10 Feb 2023
  • Location
    Edinburgh

  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!

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• Postdoctoral Research Associate in Mathematical Modelling of Epigenetic Regulation

  • When
    31 Mar 2023
  • Location
    Centre de Recerca Matematica, Barcelona

  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

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• Postdoctoral position

  • When
    31 Mar 2023
  • Location
    Centre de Recerca Matemàtica (Barcelona)

  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/

  
  

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• 2 PhD Positions: Modelling Climate Change and Land Use Change Impacts on Host-Parasite Dynamics and Disease

  • When
    30 Apr 2023
  • Location
    University of Toronto, Canada

  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.

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• Research position at Technology Innovation Institute, Abu Dhabi

  • When
    1 Jun 2023
  • Location
    Abu Dhabi

  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.

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• Senior Research position in Math/Statistics

  • When
    1 Jun 2023
  • Location
    Abu Dhabi, United Arab Emirates

  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.
  
  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.

  Please contact Andrea Tortosa (andrea.tortosa@tii.are) for candidature or further info.

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• Senior Research position - Bio-mathematical modeling

  • When
    1 Jun 2023
  • Location
    Abu Dhabi, United Arab Emirates

  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.
  
  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.

  Please contact Andrea Tortosa (andrea.tortosa@tii.are) for candidature or further info.

  Show details