876 postdoctoral-image-processing-in-computer-science-"U" Fellowship positions in United Kingdom
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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and
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, or scientific relevance of myths. Applications are welcome from all those working on this topic within any area of the Arts, Humanities and Social Sciences and who wish to undertake a major project over the
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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their proposed programme necessitates a Leverhulme ECF rather than a project grant or alternative postdoctoral fellowship; and why King’s College London is an appropriate host for them and their research project
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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shared sense of what is real and societal cohesion. Applications are welcome from all those working on this topic within any area of the Arts, Humanities and Social Sciences and who wish to undertake a
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processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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About Us Applications are invited for the prestigious King’s College London Prize Fellowships. We want to recruit outstanding postdoctoral basic or translational scientists who are looking
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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