2 Postdoctoral Fellowships in Nonlinear Dynamics in Cell Biology (Szeged, Hungary) Applications are welcome to 2 postdoctoral research fellowships in the project Nonlinear Dynamical Systems in the Mathematical Models of Cell Biology, funded by Hungary’s flagship research grant, the ‘Frontline’ Research Excellence Program. The research covers a range of topics including collective cell dynamics, pattern formation and cancer modelling, with special attention to the role of time delays in cell biology. The research fellows will join the group of Gergely Röst at the University of Szeged, Hungary (http://www.math.u-szeged.hu/~rost/researchgroup.html). The University is among the most prominent higher education institutions in Central Europe, located in the downtown area of Szeged (often considered as one of the best university towns in Europe). The fellowships are offered initially for one year, with the possibility of extension up to three years. There is some flexibility in the starting date and the duration of the fellowships. Letters of interest are to be sent to dynamics@server.math.u-szeged.hu, accompanied with a CV, list of publications and contact info of two reference persons. Reviews of applications will continue until the positions are filled.
Faculty Position in Systems Biology, Virginia Tech
The Department of Biological Sciences (https://www.biol.vt.edu/) and the Division of Systems Biology at Virginia Tech (www.ais.science.vt.edu/programs/sysbio.html) are seeking to hire a tenure track faculty member with expertise in the mathematical modeling of cellular processes, broadly defined. We are interested in candidates with either an entirely mathematical modeling research program or a combined modeling/experimental program in the areas of cell, developmental, molecular, or synthetic biology. Applicants must be dedicated to interdisciplinary education at the undergraduate and graduate level, and should be sensitive to issues of diversity in the university community. Appointment at the Assistant Professor level is anticipated, although more senior applicants may also be considered.
The Department of Biological Sciences at our Blacksburg, VA, campus will serve as the tenure home for this position and provide office and lab space, as well as administrative support. The Division of Systems Biology is part of the College of Science’s Academy of Integrated Science, which works with academic departments to develop and support new directions in scientific research and education. The Division offers an undergraduate degree in systems biology, and its faculty participate in departmental graduate programs as well as the university’s Ph.D. programs in Genetics, Bioinformatics & Computational Biology and Molecular and Cellular Biology. The responsibilities of a successful applicant will be to maintain a research program that is well-funded and visible (e.g., by presenting seminars at other institutions and traveling to national and international conferences), to teach undergraduate systems biology courses and graduate level biological sciences courses, to mentor graduate and undergraduate research projects in systems biology, to continue developing their professional capabilities and scholarly activities, and to participate in department, academy, college, and university governance, as well as professional service.
Job requirements: Applicants must have demonstrable research experience in the mathematical modeling of molecular or cellular processes, including a Ph.D. (required at the time of appointment) in a relevant field of science (such as biology, biophysics, biochemistry, bioengineering, applied mathematics, physics), as well as postdoctoral experience. Experience in teaching across disciplinary boundaries will also be of particular interest.
Applications must be submitted online at https://jobs.vt.edu/careers.html (Job # 511050) and should include (1) a cover letter, (2) curriculum vitae, (3) summary of research experience and future plans (max. three pages), (4) statement of teaching experience and philosophy (max. two pages), (5) a description (one page) of any previous activities aimed at expanding the diversity of the scientific community and of the applicant’s plans to build an inclusive and culturally diverse educational environment at Virginia Tech (www.provost.vt.edu/who_we_are/inclusion_diversity.html and www.inclusive.vt.edu/). Applicants should also provide contact information for three references. Review of applications will begin on October 25, 2019 and continue until the position is filled. Later in the hiring process, the successful applicant must provide an official Ph.D. transcript and pass a criminal background check.
Virginia Tech is an equal opportunity and affirmative action employer. Women, minorities, individuals with disabilities, and protected veterans are strongly encouraged to apply. Anyone having questions concerning discrimination or accessibility should contact the Office for Equity and Accessibility at (540) 231-2010. Anyone desiring accommodation should notify Ms. Dreama Price, Department of Biological Sciences, (540) 231-5712, or call TTY 1-800-828-1120. Requests for further information should be directed to Professor John Tyson (tyson@vt.edu) or Professor Daniela Cimini (cimini@vt.edu).
UKRI Centre for Doctoral Training in Biomedical AI – funded places available for 2020 entry
The new UKRI CDT in Biomedical AI at the University of Edinburgh is looking to recruit 12 students to start in September 2020. Students will be fully funded for 4 years (stipend, fees and research support budget).
CDT website: http://web.inf.ed.ac.uk/cdt/biomedical-ai/apply
Building on a tradition of world-leading research and innovation at Edinburgh, our Centre will train a new generation of interdisciplinary scientists who will shape the development of AI within biomedical research over the next decades. Our students will be equipped with all the technical skills to realise biomedical breakthroughs through AI while anticipating and addressing the societal issues connected with their research.
The CDT programme follows 1+3 format. In Year 1 you will study towards a Master by Research, undertaking a number of taught courses and taster research projects to broaden and refine your skills and explore different research areas. In Year 2-4 you will propose and pursue an interdisciplinary PhD project under the joint supervision of an AI expert and an application domain expert.
A UK 2.1 honours degree, or its international equivalent, in computer science, mathematics, physics, engineering or a related discipline.
Applicants from a biomedical or social sciences background with relevant technical experience are also welcome.
CDT studentships fund 4 years of study, covering tuition fees, stipend and travel/research support.
Deadline for international applicants: 29 November 2019
Deadlines for UK/EU applicants: 29 November 2019; 31 January 2020
More information and how to apply: http://web.inf.ed.ac.uk/cdt/biomedical-ai/apply
Follow us on Twitter: @BioMedAI_CDT
2 Fully-funded PhD studentships in Theoretical Evolution and Ecology at the University of Lausanne
The Mullon lab in the Department of Ecology and Evolution at the University of Lausanne, Switzerland, is seeking two PhD students to develop new theory in evolutionary genetics and evolutionary ecology using mathematics and/or computational methods. Projects are flexible and will relate to understanding the genetic and ecological bases of variation in quantitative traits, with specific interest in social traits, such as aggression, cooperation, resource utilization or mating behavior. Support for the positions comes from a recent SNSF Eccellenza award (PCEFP3_181243).
Job information
Expected start date: 01.03.2020 or to be agreed
Contract length: The initial contract is for one year and is extendable to a total of 4 years.
Activity rate: 80-100%
Salary: 45-50’000 CHF/year
Workplace: Department of Ecology and Evolution, University of Lausanne, Dorigny, Switzerland
Your qualifications
Candidates need to have a Master's degree in a relevant area before the start date of their position. Successful candidates will have experience in mathematical or computational modeling, and a keen interest in ecology and evolution. A high level of written and spoken English proficiency is required.
What the position offers you
You will develop your research project while working in a world competitive, interdisciplinary and highly collaborative environment. The PhD program in the University of Lausanne provides opportunities for professional training and acquisition of highly transferable skills. The positions are fully funded. Salary and benefits are internationally highly competitive. Additional funding for consumables, computing, and to attend international conferences is available.
Your application
Please, send your full application in PDF by email to Charles Mullon (charles.mullon@unil.ch) by the end of October 2019 (contact us if you cannot meet this deadline).
Your application should include:
* Cover letter, including research interests
* Curriculum vitae, including the names and contact details of 2-3 references
* Master's thesis summary (max. one page)
Lab visits and interviews will take place in December 2019 in Lausanne.
For more information on the department of Ecology and Evolution, please consult https://www.unil.ch/dee/en/home.html
For more information on the University of Lausanne, please consult https://www.unil.ch/central/en/home.html
For additional information regarding the positions, please contact Charles Mullon (charles.mullon@unil.ch).
Charles Mullon
Assistant Professor
Department of Ecology and Evolution
University of Lausanne
charles.mullon@unil.ch
A newly created position in Applied Mathematics (Dynamical Systems) is now vacant at Norwegian University of Life Sciences:
https://www.jobbnorge.no/en/available-jobs/job/176338/associate-professor-within-applied-mathematics#?p=1&reset=1
PhD position in Mathematical Biology (3 years) I am looking for a PhD student to join my research group at the Max Planck Institute for Evolutionary Biology. Evolutionary dynamics of antibiotic resistance on plasmids The evolution of antibiotic resistance poses a severe threat to modern healthcare. Clinically relevant resistance is often encoded on plasmids. Plasmids are extrachromosomal DNA elements that can be transmitted vertically or be transferred horizontally between cells. The location of resistance genes on plasmids can lead to special evolutionary dynamics. The aim of the project is to develop mathematical models for the evolution and spread of resistance on plasmids. On the mathematical side, the analysis will mainly be based on branching process theory, complemented by deterministic ODE systems and stochastic computer simulations. The position is part of a DFG-funded Research Training Group (RTG) on "Translational Evolutionary Research". The program brings together 14 research groups from several institutions to study how insights from evolutionary biology can be applied to solve problems in medicine, food production, and wildlife conservation. Projects are organised in tandems who work on related topics. The tandem partner of the proposed project is Professor Tal Dagan (University of Kiel). The student would hence closely interact with a research group that focuses on experimental evolution and data analysis. The ideal student will be one who is interested in applying mathematical modeling to gain insights into biological problems and is enthusiastic about math as well as about biology. The successful student will learn how to set up and analyse theoretical models to describe biological processes and become skilled in using branching process theory as a modeling tool. Applicants should have a background in mathematics, physics, biology, computer science or a related field. Good quantitative skills are essential. Prior experience in mathematical modeling and knowledge of a programming language (C, C++, Java, R, Python...) is an advantage. Working environment The student will join a young group at the Max Planck Institute for Evolutionary Biology. In our group, we focus on exploring the role of stochasticity in evolution. In the context of resistance evolution, we closely collaborate with experimental microbiologists at the University of Kiel. The group is part of the Department of Evolutionary Theory. The student will hence be part of a larger community of researchers working at the intersection of mathematics and biology with many opportunities to take part in journal clubs, reading groups etc. The Max Planck Institute is a lively institute with three departments (Evolutionary Theory, Microbial Population Biology, Evolutionary Genetics) and several additional research groups. It hosts several workshops per year and continuously welcomes international short-term and long-term visitors, creating a stimulating and positive research environment. We maintain close interactions with Kiel University and belong to the Kiel Evolution Center. The area is a center of evolutionary biology in Germany. Plön Plön is a small town, embedded into a beautiful landscape with innumerous lakes and close to the Baltic Sea. The area provides ample opportunity for free time activities such as swimming, canoeing, or biking in a stunning environment. At the same time, the cities of Kiel and Lübeck (≥200,000 inhabitants) are only half an hour train ride away. Hamburg (Germany’s second largest city) can be reached within 1.5h by train. Application Interested students should send their application (motivation letter, CV, copies of certificates, contact details of two references) by email to uecker@evolbio.mpg.de. Please use the code PhD2019-2 in the subject line. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. The Max Planck Society is committed to employing more disabled individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. For further questions, please get in contact with Dr. Hildegard Uecker. Application deadline is December 15, 2019. However, the position will remain open until filled by a qualified candidate. Contact: Dr. Hildegard Uecker Research group Stochastic Evolutionary Dynamics Department of Evolutionary Theory Max Planck Institute for Evolutionary Biology Website: web.evolbio.mpg.de/stochdyn Email: uecker@evolbio.mpg.de Phone: + 49 4522 763-536
Our group explores under which conditions individuals cooperate. To this end, we translate social interactions into mathematical games. These games can then be explored analytically, with computer simulations, and with behavioral experiments.
We are looking for motivated researchers to join us.
PhD Position (3 years) Mathematical models of cooperation among heterogeneous individuals One key mechanism for cooperation is reciprocity. People are more likely to help somebody if they have received help in the past. Most existing models of reciprocity assume that all individuals are identical with respect to their cooperation costs, and in how they discount future interactions. The project aims to develop and to analyze models of reciprocity among heterogeneous individuals. Applicants should have a degree in mathematics, biology, economics, physics, or another related field. They should be curious to describe social behaviors mathematically. Ideally, they are already familiar with the theory of Markov chains and stochastic processes. Good quantitative skills and interest in programming (e.g. Matlab, Python, … ) will be important.
Our group explores under which conditions individuals cooperate. To this end, we translate social interactions into mathematical games. These games can then be explored analytically, with computer simulations, and with behavioral experiments. We are looking for motivated researchers to join us. Post Doc Position (2 years) Modeling reciprocity in changing environments Typical models of reciprocity assume that individuals interact in the very same game over and over again. In such setups, already simple strategies like “Tit-for-Tat” suffice to enforce cooperation. However, in many natural applications, such as the management of natural resources, individual actions today can alter the entire strategic situation in future rounds. Such scenarios with environmental feedback can be described by stochastic games. The project aims to characterize how environmental feedback affects cooperation, and what strategies the individuals adopt. Applicants should have a strong quantitative background; ideally they already have experience in using classical or evolutionary game theory to analyze social behavior. The position requires a sound mathematical background, programming skills (Matlab, Python,… ), and experience in scientific writing. Experience with behavioral experiments is an advantage, but not necessary. Working environment The Max Planck Research Group “Dynamics of Social Behavior” has been established in October 2019, and is led by Dr. Christian Hilbe. The group is a part of the Max Planck Institute for Evolutionary Biology in Plön, Germany. The institute has three departments (Evolutionary Theory, Microbial Population Biology, Evolutionary Genetics) and several additional research groups. It hosts several workshops per year and continuously welcomes international short-term and long-term visitors, creating a stimulating and positive research environment. In addition, the research group maintains strong collaborations with external researchers, including researchers from Harvard University, IST Austria, and the University of Exeter. Plön is a small town close to the Baltic Sea, embedded into a beautiful landscape with numerous lakes. The area provides ample opportunity for free time activities such as swimming, canoeing, or biking in a stunning environment. The cities of Kiel and Lübeck (≥200,000 inhabitants) are only half an hour train ride away. Hamburg (Germany’s second largest city) can be reached within 1.5h by train. Application Interested students and Post Docs should send their application (motivation letter, CV, copies of certificates, contact details of two references) by email to hilbe@evolbio.mpg.de. Please use the code PostDoc2019 in the subject line. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. The Max Planck Society is committed to employing more disabled individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. For further questions, please get in contact with Dr. Christian Hilbe. The application deadline is December 15, 2019. However, the positions will remain open until filled by qualified candidates. Contact: Dr. Christian Hilbe Research Group Dynamics of Social Behavior Max Planck Institute for Evolutionary Biology, Plön, Germany Website: web.evolbio.mpg.de/~hilbe Email: hilbe@evolbio.mpg.de
The groups of Dr Kit Yates and Professor Robert Kelsh at the University of Bath, UK, are advertising a PhD studentship in mathematical biology:
The four year fully-funded project, at one of the UK's leading Centre's for Mathematical Biology, will investigate the evolution of zebrafish pigmentation patterning.
For more details see: https://www.findaphd.com/phds/project/swbio-dtp-phd-project-constrained-evolution-possibilities-and-impediments-in-pigment-patterning/?p114486
or email KIt: c.yates@bath.ac.uk or Robert: bssrnk@bath.ac.uk
We have an exciting opportunity for an early-stage postdoc or research assistant to join a project on the risk factors and transmission of zoonotic tuberculosis in England. This Wellcome Trust funded project involves helping to establish and run a study to measure TB infection risk associated with exposure to TB infected cattle.
Deadline for applications is 25 November 2019. To apply and for more information visit https://www.jobs.ac.uk/job/BWH668/research-associate-in-zoonotic-disease-epidemiology
PhD in Infectious Diseases and Complex Systems
Start date: 9 November 2019
End date: 9 December 2019
This is an exciting opportunity for a fully-funded PhD position in data science, collective behaviour and infectious disease epidemiology, not tied to any specific project. This PhD will use ideas from data science, statistics, complexity and network theory to develop new methods that address real-world problems.
An example project:
The network of interactions between co-circulating infections:
Bacteria and viruses often interact with each other in the host competing for resources and space, and have been shown to modify the ability of the other to transmit. Nevertheless, most studies consider considering pathogen species in isolation. Some disease-causing respiratory tract infections are poly-microbial, resulting from synergistic and antagonistic interactions between pathogens. Few of these interactions are well understood, due to the complexity of the system. Moving beyond this requires taking a dynamic, complex systems approach, inspired by analysis of available data. This project aims to develop a data-driven theoretical framework for understanding the ecology of co-circulating infections in human populations. This is a fundamentally inter-disciplinary project that would suit an ambitious student with interests in epidemiology and disease ecology.
The PhD studentship will be awarded to the best candidate and would suit a highly-motivated student with a background in a quantitative subject (e.g. statistics, physics and mathematics) and an interest in public health, or a student with a background in public health or medicine with an interest in quantitative approaches. The ideal candidate will be one who could take the opportunity to shape the topic and direction of the work.
We are looking for ambitious and motivated postgraduate candidates to join our computational biology group at the Centre for Regenerative Medicine in Edinburgh. We are using expertise in mathematical modelling of cell interactions to answer biological questions in development and regeneration in close collaboration with experimental colleagues.
There are four projects, competition-funded through the eastbio and Precision Medicine programmes. All projects involve computational and mathematical as well as experimental or data analysis work. Click through the links below for more information on each project:
1. Modelling cell state transitions in differentiating embryonic stem cells in collaboration with Val Wilson's lab in Edinburgh and Jochen Kursawe at the University of St Andrews.
2. Dissecting the role of the immune system in tumour initiation using experimental & computational analysis in collaboration with Yi Feng's lab at the Centre for Inflammation Research in Edinburgh.
3. Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation in collaboration with Guillaume Blin's lab at the CRM in Edinburgh.
4. A novel data integration method for cellular social networks within self-organising multicellular systems in collaboration with Guillaume Blin's lab and Thanasis Tsanas' DARTH group at the Usher Institute for Medical Informatics in Edinburgh.
Successful candidates will benefit from links with the research communities in mathematical biology and systems biology in Edinburgh. Please don't hesitate to get in touch if you are interested in any of the above projects.
______________________
University of Edinburgh
Linus.Schumacher@ed.ac.uk
Centre for Regenerative Medicine
Institute for Regeneration and Repair
Centre for Synthetic and Systems Biology
Centre for Statistics
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