"Biology is the new physics" -- Philip Hunter
Recent advances in technology have massively improved our ability to conduct experiments and collect data giving new insights into biological systems. The classical approach to mathematical biology has been to use analytic tools, e.g., ordinary/partial differential equations, perturbation theory etc. In this project, we will develop stochastic models for biological systems. We will start will simple Markovian models and then extend them to more general non-Markovian ones.
The project will require both theoretical (probability theory, functional analysis) and computational skills (programming).
Computational Statistics and Machine Learning
Centre for Mathematical Medicine and Biology
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The University of NottinghamUniversity Park Nottingham, NG7 2RD
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