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from a single cell to the mature blastocyst. This will involve a combination of computer simulation (e.g. in C++ or MATLAB) and mathematical analysis. As well as intrinsic interest in embryology
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer
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individually, make a real difference. The role An exciting opportunity for a postdoctoral Research Fellow with a background in mathematical modelling / epidemiology has become available in the Faculty of Health
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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this aim and to collectively, and individually, make a real difference. The role An exciting opportunity for a postdoctoral Research Fellow with a background in mathematical modelling / epidemiology has