Start Date
Immediate
Expiry Date
08 Nov, 25
Salary
57472.0
Posted On
09 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Data Analysis, Biological Systems, Computational Biology, Interdisciplinary Research, Mathematical Biology, Theoretical Physics, Statistical Inference, New Concepts, Statistics, Original Research, Applied Mathematics, Physics
Industry
Information Technology/IT
AVAILABLE DOCUMENTS
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ABOUT THE ROLE
Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London, funded by UK Research and Innovation and will involve stochastic modelling for single-cell dynamics.
WHAT YOU WOULD BE DOING
You will work closely with Dr Philipp Thomas and the Single Cell Dynamics Group at Imperial College on developing mathematical and data-driven methods for single-cell dynamics.
You will join a research programme at the interface of mathematics, statistics, and biology, aimed at understanding how individual cells respond to stress or drug exposure, such as antimicrobials or cancer drugs. The project will combine theory development with data to uncover theoretical principles that govern cell death and survival in heterogeneous and fluctuating environments. You will develop theoretical and computational tools for stochastic models of cellular processes, design and implement statistical inference methods, and work with single-cell data to guide model development and validation.