827 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in United Kingdom
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PhD (or near completion) in a relevant area such as Psychology, Mental Health, or Social Sciences. Experience in qualitative and/or mixed methods research. A demonstrable commitment to co-production and
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about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
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enquires about the project can be made to Dr Richard Meek (r.w.meek@soton.ac.uk ) About You You will have or be near completion of a PhD in biology, chemistry or related discipline, where you have gained
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
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Summary Work within the PRE-EMPT programme grant and its team of co-applicants Operate within area of specialism (implementation science/behaviour change/maternal health) Analyse and interpret data and
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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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these influence immune function and disease. The project combines biochemistry, molecular and cellular biology, and in vivo models to deliver a comprehensive picture of immuno-metabolic function during inflammation
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Humanities and Social Sciences University of Cambridge – Newnham College Newnham College, Cambridge invites applications from women graduates of any university for a Research Fellowship. The
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represents the first dedicated cancer immunology centre in the UK. The activities in this centre span from pioneering discovery science to applied research and preclinical modelling and, crucially, onto first