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of genetics is required. Most important are an inquisitive mind and the desire to develop and apply statistical methodology to questions of substantive biological importance and disease relevance
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insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre
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an appropriate field (e.g. Immunology, biomedical science, biochemistry, Molecular biology) and/or have relevant experience at an equivalent level, together with some hands-on experience in animal handling, flow
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rules which enable effective learning in large and deep networks and is consistent with biological data on learning in the cortex. In particular, the research will focus on evaluating and extending a
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About us The Dickson Poon School of Law, King's College London is one of the oldest law schools in England and recognised globally as one of the best law schools in the world. The School was established in 1831 and has played an integral role in the life of King's since the university was formed...
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analyze the resulting datasets using biophysical modelling. A willingness to learn and employ biochemical approaches and interact with external collaborators in molecular biology and biochemistry
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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research outcomes to advance knowledge in the specialist area. It is essential that you hold a PhD/DPhil (or close to completion) in biochemistry, molecular biology, neuroscience or a related field, and have
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biological science, neuroscience, or similar field, and will have relevant laboratory experience, although training will be provided during the initial period. Experience of working with models of ocular inflammation
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to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally