This Cancer Research UK funded postdoctoral role, involves developing spatially-resolved mathematical models of metastatic colorectal cancer within the multidisciplinary CRC-STARS spatial biology team.
Working closely with mathematicians, biologists, and clinicians, the researcher will model tumour-stroma-immune interactions during liver metastasis using agent-based and/or continuum frameworks. The goal is to understand metastatic mechanisms and inform combination therapies. The role includes validating models against spatial data generated by the CRC-STARS consortium and leveraging the MuSpAn Python toolbox for multiscale spatial data analysis.
Click here for more information
This Cancer Research UK funded postdoctoral role, focuses on analysing spatial transcriptomic data within the CRC-STARS spatial biology team.
Collaborating with a multidisciplinary group of mathematicians, biologists, and clinicians, the researcher will develop and apply advanced mathematical methods to characterise spatial features and cellular interactions in colorectal cancer responses to neoadjuvant therapy.
The role involves using and potentially expanding the MuSpAn Python toolbox to build high-throughput analysis pipelines and contribute to the development of imaging panels for clinical application, supporting the broader aims of the CRC-STARS consortium.
We are looking for motivated candidates to join our team at Inria Sophia Antipolis (France). Both open positions are part of ongoing research on plant disease management and modelling, at the intersection of ecology, evolution, and applied mathematics.
To learn more and apply:
18-month postdoc position - Inference of a demo-genetic model for the sustainable management of plant resistance: https://jobs.inria.fr/public/classic/en/offres/2025-08745
12-month scientific engineer position - Development of a spatial multi-disease plant model: https://jobs.inria.fr/public/classic/en/offres/2025-08746
We are seeking a PhD student to join the group of Assistant Professor Lisandro Milocco at Stockholm University and SciLifeLab.
The project focuses on the mathematical and computational modeling of development and evolution, with the goal of understanding and predicting how developmental processes shape evolutionary outcomes.
Possible research directions include quantitative genetics, evolutionary prediction, and dynamical systems approaches to modeling development and evolution.
Profile: Applicants should have a background in biology and an interest in quantitative approaches, or training in quantitative fields (e.g. mathematics, physics, computer science) with a strong interest in evolution. Skills in programming, statistics, or dynamical systems modeling are especially welcome.
More information and application: https://su.varbi.com/en/what:job/jobID:850027/
Deadline: September 30, 2025 Contact: lisandro.milocco@zoologi.su.se
A funded research project will investigate an innovative strategy to improve gene drive efficiency in Aedes aegypti mosquitoes through novel target site selection, an approach not previously studied in this species. Specifically, we will investigate the potential of targeting a haplolethal gene for effective genetic control of Ae. aegypti populations. We are seeking for a postdoc with prior experience with modeling gene drive systems and/or mosquito population genetic to work on the project. The modeling aspect of the project will focus on developing computational models to analyze the intricate dynamics of a homing rescue drive targeting haplolethal gene in Aedes aegypti mosquito populations. Additionally, it will evaluate the efficacy (ecological and epidemiological) of various drive mechanisms based on this platform, including population replacement strategies, population suppression approaches, and toxin-antidote systems.
More information and application link are available here
https://tamus.wd1.myworkdayjobs.com/TAMU_External/job/College-Station-TX/Postdoctoral-Research-Associate---Postdoctoral-in-Gene-Drive-Modeling_R-085450
Copyright © 2025 ESMTB - European Society for Mathematical and Theoretical Biology. All Rights Reserved
Read our Privacy Policy | Contact ESMTB at info@esmtb.org | Website created by Bob Planqué. Currently maintained by Elisenda Feliu