The Department of Computational and Quantitative Biology (LCQB) at the
prestigious Sorbonne University, located in the heart of Paris, France, is on the
lookout for a new director set to start January 1, 2025. This position is for a five-
year term, with the possibility of renewal.

Full details are available here:
https://dropsu.sorbonne-universite.fr/s/iegn9ftgTb6EmbS

https://www.jobs.ac.uk/job/DKI120/assistant-professor-research-and-education
https://www.jobs.ac.uk/job/DKI118/associate-professor-research-and-education

Salary: Full time starting salary is normally in the range £46,735 to £55,755 with potential progression once in post to £62,728

J-BJI, the Jinan University – University of Birmingham Joint Institute, is a joint venture based at the Panyu Campus, Jinan University, Guangzhou, China which took its first students in 2017. We currently deliver four BSc programmes in Mathematics, Mathematics with Economics, Mathematics with Statistics and Mathematics with Information Computing Science, attracting high quality undergraduates from across China. The programmes are taught entirely in English, with the mathematics component being delivered by the Flying Faculty and Secondee team of 17 Associate and Assistant Professors from the School of Mathematics at the University of Birmingham.

In this round of recruitment, we are looking to recruit two Grade 8 Assistant or Grade 9 Associate Professors based in Birmingham who will spend periods of 1-2 months teaching blocks as Flying Faculty or as Secondee staff periods of four to six months teaching in Guangzhou. This post is for Teaching and Research or Teaching-focused staff available as soon as possible.

We have 2 posts available but are happy to consider applications for the following combinations of either Flying Faculty staff or Secondee staff and at either Grade 8 Assistant Professor or Grade 9 Associate Professor. Please apply and quote the relevant reference and combination of either Flying Faculty or Secondee for the position and Grade for which you wish to be considered as detailed above.

We are seeking enthusiastic and committed staff with experience of, or demonstrable potential for, delivering standard first and second year material as well as third year modules covering topics such as applied statistics, game theory or optimization to a broad range of highly motivated students. Typically you will have, or be developing, an exciting and active research profile. Teaching-focused candidates will have or be developing an exciting pedagogical profile and have or demonstrate potential for academic leadership.

Teaching is entirely in English. Although speaking Mandarin is not essential for either staffing model, it would be desirable for candidates in the Secondee posts given the possible length of time spent in a Mandarin speaking environment. Accommodation for Birmingham staff is provided at the Panyu Campus. Visa and other operational needs may vary in the future. Professional services support at Panyu is provided by a dedicated team of staff based in China.

Applicants should have a PhD or equivalent experience working in any area of statistics, mathematics or related subject may apply. We are particularly keen to encourage applicants with research interests that might lead to impact activity or who are working in areas such as Applied Mathematics, Data Science and Optimisation as well as Applied Statistics, Epidemiology, Medical Statistics, Econometrics, Stochastic Modelling, Financial Mathematics and Machine Learning.

Informal enquiries to Professor Christopher Good, email: c.good@bham.ac.uk and Professor Olga Maleva, email: o.maleva@bham.ac.uk

Link:
https://njit.csod.com/ux/ats/careersite/1/home/requisition/7515?c=njit

Title:
Assistant/Associate Professor (Mathematical Sciences)

Department:
Mathematical Sciences

Reports To:
Chair, Mathematical Sciences

Position Type:
Faculty

Position Summary:
The Department of Mathematical Sciences (DMS) at the New Jersey Institute of Technology seeks candidates to fill a tenure-track position at the assistant/associate professor level. Candidates in any area of applied and computational mathematics will be considered, with a preference given to those whose research programs have applications to the physical and life sciences, including materials science, ocean and atmosphere science, active and biological media, fluid dynamics, wave propagation and scattering, and mathematical biology.

Essential Functions:
- Conduct research; pursue funding; engage in scholarly activities such as publishing papers in scientific journals and presenting work at conferences and research and educational institutions; supervise and guide graduate and undergraduate students and postdoctoral scientists on research.
- Teach graduate and undergraduate courses; develop courses and contribute to curriculum improvement.
- Participate in service activities within the Department, College, University, and the Profession.
Prerequisite Qualifications:
- Candidates should have a Ph.D. in mathematics, applied mathematics, or a related discipline and strong research and teaching potential for consideration at the assistant professor level.
- Outstanding candidates with a strong track record of research, funding, and teaching will be considered at the associate professor level.
- At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.

Bargaining Unit:
PSA
FLSA:
Exempt
Full-Time

Special Instructions to Applicants:
Please visit https://njit.jobs to apply. Submit a cover letter, resume/CV, research and teaching statements, teaching evaluations if available, and names and contact information for at least four references. Review of applications will begin on Dec. 1, 2024 and will continue until the position is filled.

About the School:
The Department of Mathematical Sciences is committed to increasing the number of women and historically underrepresented persons in its faculty. NJIT considers applicants for employment without regard to, and does not discriminate based on, gender, race, protected veteran status, disability, or any other legally protected status.
DMS has a leading national program with 39 tenured/tenure-track faculty in applied mathematics and statistics, and offers B.S., M.S., and Ph.D. degrees, with Ph.D. program tracks in applied mathematics as well as in applied probability and statistics. There are new B.S., M.S., and Ph.D. programs in Data Science (Statistics Option) jointly administered with the Department of Data Science. NJIT is an R1 university located in the vibrant University Heights neighborhood of Newark which lies within the New York City metropolitan area. For more information about DMS faculty and programs, visit https://math.njit.edu. 

The ICMS in Edinburgh will be hosting a winter school on mathematical biology aimed at early career mathematicians. Combining lecture courses with keynote talks and hands on problem solving, the focus is on equipping participants, specifically postgraduate students and early-stage researchers, with vital skills in mathematical modeling and the fundamental mathematical tools essential for advanced study and research. The program will also foster connections between scholars in Mathematical Biology from UK, Africa and the rest of the world.

There is partial financial support available, specifically we expect to be able to cover accommodation and some local expenses for some applicants. For details on the lecturers and to apply for participation please visit

https://www.icms.org.uk/workshops/2024/multiscale-modeling-infectious-diseases-cancer-and-treatments-winter-school

The Ph.D. Programs in the Department of Mathematical Sciences (DMS) at New Jersey Institute of Technology provide students with training and research experience in the methods of applied mathematics, statistics, and computing needed to tackle real-world problems in science and engineering.

DMS invites candidates to apply for one of our doctoral program tracks: (1) Applied Mathematics or (2) Applied Probability and Statistics. The interdisciplinary research in DMS spans Scientific Computing, Fluid Dynamics, Materials Science, Wave Propagation, Applied Analysis, Mathematical Biology and Computational Neuroscience, and Applied Probability and Statistics, including Biostatistics and Data Science.

DMS offers teaching and research assistantships, which include full tuition and a stipend of $46,000 for the 2025-2026 calendar year.

The application target date is December 15, 2024, but the review will continue until all available positions are filled.

For more information and to apply, visit https://math.njit.edu/phd-program or sign up for our October 31 Zoom open house at https://connect.njit.edu/portal/gmg.

For further questions, please email us at math@njit.edu and cc: goodman@njit.edu. 

MiLS meeting on "Time-Delay Systems in Life Sciences", 16-17/12/24, University of Nottingham
https://mils.ghost.io/time-delay-systems/

We are pleased to announce the meeting "Time-Delay Systems in Life Sciences", which will be held on 16th-17th December 2024 in the School of Mathematical Sciences at the University of Nottingham, and will be organised by Rachel Nicks and Stephen Coombes.

The meeting aims to bring together mathematicians to discuss the wide variety of biological systems in which time delays occur and the mathematical challenges arising in modelling these systems.

Confirmed speakers include:
Maia Angelova (Aston University)
Jonathan Crofts (Nottingham Trent University)
Lukas Eigentler (University of Warwick)
Benoit Huard (Northumbria University)
Yuliya Kyrychko (University of Sussex)
Jérémie Lefebvre (University of Ottawa)
Hil Meijer (University of Twente)
Stefan Ruschel (University of Leeds)
Francesca Scarabel (University of Leeds)

We solicit contributed talks and posters related to the theme, especially from early career researchers and postgraduate students. If you are interested in giving a talk or poster, please send a title and abstract to Rachel Nicks by email or through the registration form by 11th November 2024.

Attendance to the meeting is free of charge, but we kindly ask you to register your intention to attend by completing the registration form here https://forms.office.com/e/E0QkcARh5K

Do you want to accelerate biomedical research by using AI to discover interpretable models of biological processes?

You can now apply for a PhD project with Linus Schumacher, Guillaume Blin (University of Edinburgh) and Peter Humphreys (Research Scientist at DeepMind)

https://www.ai4biomed.io/how-to-apply/

4-years position (75%) | E13 TV-L | Potsdam close to Berlin

Project Title: Modelling context-dependent shifts in the forms of symbioses

Project Description: Symbiotic interactions - representing prolonged physical associations of several species - are common in natural systems and can determine population dynamics, species persistence and ecosystem functioning, as demonstrated for example in coral reefs and plantpollinator networks. Symbiotic interactions can take different forms including parasitism, mutualism and competition.
Depending on the underlying costs and benefits of the symbiotic interaction, the form of symbiosis may shift between different types of species interactions, e.g. mutualism and predator-prey interaction (see figure). While recent work has shown that the costs and benefits of symbioses depend on the densities of the symbiosis partners, we currently lack an understanding of how the form of symbioses depends on species traits and the overall food web context. This is particularly important as individuals and populations may adapt their traits to altered environmental conditions and as the food web structure may strongly vary across time and space. Hence, we want to improve general theory in community ecology by accounting for context-dependent changes in the form of symbiosis including the species’ potential to adapt to altering conditions in a food web context.

The project is embedded into a network of experimental and theoretical working groups across Germany, conducting regular workshops and meetings promoting international networking. The prospective PhD student will join the working group of Prof. Dr. Ursula Gaedke, jointly supervised by Dr. Toni Klauschies. The prospective PhD candidate has the opportunity to closely interact with an experimental PhD student addressing the same overarching topic in our working group and related research groups on Campus. They can join the Potsdam Graduate School (PoGS) allowing for a broad interdisciplinary training of soft skills and early career development. The unique location of our campus in Park Sanssouci is part of a historical place in Potsdam
providing a fruitful scientific environment and good working atmosphere.

Your qualification: MSc degree in Ecology or other relevant subjects such as Physics, Mathematics or Environmental Science. We are seeking enthusiastic and committed candidates who enjoy ecology and applied mathematics with a solid background in ecology and ecological modelling. The successful candidate is expected to implement and analyze numerically differential equation models with a modern programming language such as Python, MatLab or Mathematica. Very good English writing and communication skills are expected, German is an asset but not essential.

Application: To apply, please send the following documents as a single PDF to gaedke@uni-potsdam.de (the position is open until it is filled)

· Cover letter, including a statement of motivation and from when on you would be available
· Detailed curriculum vitae including a description of your pre-knowledge in (theoretical) ecology,
programming and former research activities
· Certifications of education
· If possible, provide letters of recommendation from previous supervisors

 4-years position (75%) | E13 TV-L | Potsdam close to Berlin

Project Title: Context dependent effects on protective symbiosis driven by predation, competition and parasitism

Project Description:
Symbiosis is a biological interaction which refers to the physical association of individuals from different species that can be positive, negative or neutral to either species. In planktonic systems several symbiotic interactions can occur simultaneously and can interact with each other. We want to study the symbiosis between Daphnia and the rotifer Brachionus rubens within a multi-species interaction web. B. rubens can attach to Daphnia which reduces the fitness of Daphnia. At the same time both species compete for resources (algae). The
attachment becomes more relevant, when a predator of B. rubens, A. brighwelli (another rotifer) is present because attached B. rubens are protected from predation. The aim is to quantify the costs and benefits for Brachionus and Daphnia under varying conditions and to better understand symbioses in a community context. Thus, the present project will contribute to a new food web theory which includes density dependence of symbioses. In addition, video analyses will be performed to study the attachment process in more detail.

In the case of final approval, the project is embedded into a network of several experimental and theoretical working groups across Germany conducting regular workshops and meetings.

The prospective PhD student will join the working group of apl. Prof. Dr. Guntram Weithoff at the University of Potsdam. We provide an active research  environment covering a broad range in ecological research. Beyond that, the Potsdam Graduate School (PoGS) offers a broad program on interdisciplinary training in soft skills and early career development.

Your qualification: MSc degree in Ecology preferably in Aquatic Ecology or a related field. We are looking for a motivated candidate with good experimental skills. Further relevant skills are: sound knowledge in conceptional ecology, statistics and very good English in writing and communication.

Application: To apply, please send the following documents as a single PDF to weithoff@uni-potsdam.de (the position is open until it is filled):
• Cover letter, including a statement of motivation and from when on you would be available
• Curriculum vitae including information on relevant skills
• Certificates of education
• If possible, provide letters of recommendation from previous supervisors

I am looking for a PhD student to join my research group at the Max Planck Institute for Evolutionary Biology. The position is part of the Collaborative Research Unit 'Density dependent symbiosis in planktonic systems – DynaSym', which brings together several research groups across Germany to test and develop basic concepts of density dependence of the symbiosis form (e.g., shift from predator-prey to mutualistic interaction and back).

Modeling parasite epidemics in host populations with symbiont-mediated immunity

Protective symbionts can provide hosts with immunity against virulent parasites. Yet, symbionts themselves may also be costly for the host. The form of symbiosis is thus context dependent: mutualistic upon exposure (or infection) with the virulent parasite but parasitic in its absence. Classical theory on host-parasite systems only considers two players -- the host and the parasite. The possibility of protective symbiosis clearly demonstrates the need for theory that goes beyond two-species systems. In this project, we will develop theoretical models to study the joint changes in the densities of hosts, symbionts, and parasites and the associated changes in the form of symbiosis. Initially, we will mostly develop general theory, but we will later also explore models that match the biology of Daphnia and its parasites. In collaboration with other members of the Research Unit, models can moreover be tailored to other systems of protective symbiosis that are studied empirically within DynaSym.

The ideal student is interested in applying mathematical modeling to gain insights into biological problems, enthusiastic about math as well as about biology, and excited about engaging in the research unit DynaSym. The student will learn how to set up and analyse theoretical models to describe biological processes and profit from close interactions with empirical researchers. 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, Python, Julia...) is an advantage.

The Research Unit DynaSym has recently been funded by the German Research Foundation DFG (www.uni-konstanz.de/en/university/news-and-media/current-announcements/news-in-detail/mal-freund-mal-feind) and is a collaborative initiative bringing together research groups from across Germany and international collaborators. 8 projects will collaborate within the research unit and cover experimental work with plankton systems, modeling, theory development, and synthesis work. Workshops, retreats, and research visits to other research groups are planned for all participants to facilitate exchange and additional training.

Working environment
The student will join the research group 'Stochastic Evolutionary Dynamics' at the Max Planck Institute for Evolutionary Biology. The group is part of the Department of Theoretical Biology. The student will hence be part of a 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 around 180 employees from more than 30 nations. There are currently two departments (Theoretical Biology and Microbial Population Biology) 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 numerous 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) in a single pdf by email to uecker@evolbio.mpg.de and to bewerbung@evolbio.mpg.de. Please use the code PhD2024 in the subject line. We ask you to refrain from including a photo on your CV.

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.
Review of applications will begin immediately and will continue until the position is filled.

The Hiscock lab is hiring! Funded by an ERC Starting Grant, we are looking to recruit people with a strong quantitative background to work on some of the most fundamental problems in developmental biology.

We welcome applications from theoretical/computational biologists, but also from applied mathematicians, (bio)physicists, and computer programmers. We develop dynamical models (mainly PDEs) to understand the remarkable ways in which biological systems, especially embryos, self-organize into complex structures. We combine analytical theory with large-scale simulations – developing new theory and computational methods where required – and also collaborate closely with experimentalists from around the world.

Positions are available at both PhD and postdoctoral levels with significant flexibility on start date; we will also provide in-depth mentorship for applications to independent fellowships. We are a curious, friendly and collaborative team based in the beautiful and affordable Northeast of Scotland, come join us!

If you are interested to know more, please get in touch with Tom directly: thomas.hiscock@abdn.ac.uk

Interested in using your quantitative, computational, and theoretical skills to research better ways to treat human diseases?
Apply for a Precision Medicine PhD in Edinburgh!

There are up to 3 projects with me:
https://usher.ed.ac.uk/precision-medicine-doctoral-training-programme/mathematical-modeling-of-pancreatic-islet-behaviour
https://usher.ed.ac.uk/precision-medicine-doctoral-training-programme/dissecting-macrophage-fibroblast-cell-circuits-in
https://usher.ed.ac.uk/precision-medicine-doctoral-training-programme/using-synthetic-biology-and-quantitative-analysis-to

Linus Schumacher

A postdoctoral position of up to 3 years is available in the “Cancer Systems Pharmacology” team (Ballesta Lab) within the "Bioinformatics and Computational Systems Biology of Cancer" Unit (U900 INSERM, Mines ParisTech, Institut Curie) at Institut Curie.

The hosting structure
Institut Curie is a major player in the research and fight against cancer. It consists of a Hospital group and a Research Center of more than 1000 employees with a strong international representativeness. The objective of the Research Center is to develop fundamental research and use the produced knowledge to improve the diagnosis, prognosis, and therapeutics of cancers as part of the continuum between basic research and innovation serving the patient.

Laboratory
The "Bioinformatics and Computational Systems Biology of Cancer" research unit is a very active and growing interdisciplinary department gathering bioinformaticians, biologists, physicians, mathematicians, statisticians, physicists, and computer scientists. This postdoctoral project will be hosted in the “Cancer Systems Pharmacology” team which designs mathematical and statistical approaches for optimizing and personalizing anticancer treatments integrating multi-type preclinical and clinical data. The project is a collaboration with the “Statistical Methods for Precision Medicine” team (Latouche Lab) of the unit, the Cancer chronotherapy Paris-Saclay research unit (Hôpital Paul Brousse, Villejuif), and also involves several additional teams of clinicians.

The project
The postdoctorate candidate will focus on investigating the impact of the administration timing over the 24h span of cancer immunotherapy on treatment outcomes in patients. He/She will work in the framework of a collaborative project funded by INSERM through the “Mathématiques et Informatique contre le Cancer” call (MIC, 2024-2028) that aims to enhance the efficacy of Immune Checkpoint Inhibitors (ICI) through personalized administration timing. The circadian timing system has significant influence on the immune system1 and recent preclinical and retrospective cohort studies, including one of our group2, have highlighted an association between ICI timing of administration and treatment outcomes.

The candidate will perform analysis of cohorts of patients with cancers treated with ICI in order to decipher optimal ICI timing in terms of survival, antitumor response and toxicities, accounting for the patient characteristics (e.g. sex, age, performance status, …). In addition, he/she will develop novel statistical methods for analyzing the association of drug timing with patient survival and evaluate them on both synthetic and real-world data3,4. The candidate will further investigate the optimal design of prospective clinical trials addressing the relevance of personalized administration timing regarding patient outcomes. In connection with applied mathematicians of the team, he/she may further investigate the molecular determinants of such timing dependencies using mechanistic models based on ordinary differential equations.

Key responsibilities
o Conduct original research in the area of chrono-immunotherapy
o Develop and implement biostatistics methods using synthetic or real-world clinical data
o Interact with biologists and clinicians
o Publish scientific articles at international peer-review journals
o Present results internally and at international conferences
Skills/qualifications
o PhD degree in the area of biostatistics, or applied mathematics
o Significant computational/programming skills (e.g. R, MatLab, Python)
o Experience in working with survival analysis and clinical data.
o Strong interest in biological sciences and clinical research
o Strong communication and writing skills
Contract Information
The position is available immediately and opened until filled. The salary will be set according to the Institut Curie salary grids which include a bonus for bioinformaticians. Benefits include collective catering, reimbursement of transportation fees up to 70%, and supplementary health insurance. Institut Curie also offers numerous opportunities for training in both scientific and soft skills. The location of the position is on the site of Saint-Cloud (92) of Institut Curie.

Selection process
For initial consideration and more details about the scientific areas of research, send an e-mail including your CV, a brief statement of interest and contact information for two academic references to annabelle.ballesta@inserm.fr.

Institut Curie is an inclusive, equal opportunity employer and is dedicated to the highest standards of research integrity.

References
1. A Lévi, F., Okyar, A., Hadadi, E., F Innominato, P. & Ballesta, A. Circadian Regulation of Drug Responses: Toward Sex-Specific and Personalized Chronotherapy. Annu Rev Pharmacol Toxicol (2023) doi:10.1146/annurev-pharmtox-051920-095416.
2. Catozzi, S. et al. Early morning immune checkpoint blockade and overall survival of patients with metastatic cancer: An In-depth chronotherapeutic study. European Journal of Cancer 199, 113571 (2024).
3. Efird, J. T. Sinusoidal Cox Regression—A Rare Cancer Example. Cancer Inform 9, CIN.S6202 (2010).
4. Ramanathan, K. et al. Assessing Seasonality Variation with Harmonic Regression: Accommodations for Sharp Peaks. IJERPH 17, 1318 (2020).

This annual international conference is hosted in 2025 the Institute of Mathematics and Informatics and the Institute of Mechanics at the Bulgarian Academy of Sciences in Sofia.

Biomath 2025 is 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.

Furthermore, Biomath 2025 includes a Special Topic session on Mathematical Models of the Immune system in Human Disease.

Conference website: www.biomath.bg/2025

The University of Bristol Medical School offer intensive online short courses designed for researchers and healthcare practitioners. We are delighted to confirm that bookings for our popular Essentials of Infectious Disease Modelling and Economic Evaluation short course will open at midday on 8 October 2024.

Mathematical modelling is an important tool that can be used to understand the dynamics of infectious diseases. Academics working within Bristol Medical School, including those who tutor on the course, are involved in international research on human and zoonotic infectious diseases to help understand epidemics and predict the future burden of diseases, as well as the impact of different control measures to inform policy.

Find out more: https://www.bristol.ac.uk/medical-school/study/short-courses/courses/infectious-disease-modelling-economic-evaluation/