Research Fellow in modelling and inference of self organisation in cell division.
Warwick, UK.
Closing date: 11th March 2018, interviews late March, early April.
The post is for 48 months, start date ideally before June 2018 but flexible.
Applications are invited for a postdoctoral research fellow to work with Professor Burroughs on the modelling and statistical inference of chromosome movements during cell division. This will involve developing MCMC algorithms for hidden Markov models (unknown number of states) within a sDE context. By inferring the mechanics of chromosome movements, the aim is to develop a (data driven) mechanistic 3D dynamic model of the self-organising processes that lead to accurate separation of chromosomes to two daughter cells and how this goes wrong. It thus has relevance to cancer and development disorders. The project will develop and implement Bayesian algorithms to fit (infer) mechanics inspired sDE models to 3D chromosome trajectories generated from tracking in imaging time-series. The project is a collaboration between Burroughs’ theory group and an experimental lab in Warwick Medical School.
The ideal candidate will have a relevant PhD, e.g. in statistics/mathematics/physics, and have a strong background in stochastic modelling and/or computational statistics. A background in HMM inference using Markov chain Monte Carlo (MCMC) algorithms will be beneficial, whilst an ability to programme in MatLab, C++ a distinct advantage. A willingness and enthusiasm for communicating with biologists is encouraged. A background in biology is NOT required.
To apply go to http://www.jobs.ac.uk/job/BHQ789/research-fellow-in-modelling-and-inference-of-self-organisation-in-cell-division-88190-028/
Additional details can also be found at https://warwick.ac.uk/fac/cross_fac/zeeman_institute/staffv2/burroughs/
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