140 genetic-algorithm-computer-"Prof" Postdoctoral positions at University of Oxford in United Kingdom
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vascular biology) alongside experience in cell biology and cell signalling in isolated primary cells. You must also have experience in phenotyping of genetically modified experimental models
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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. The main objectives of Dr Kapetanovic’s research programmes are the: • Development of novel genetic and optogenetic therapies for retinal diseases. • Investigation of innovative ocular surgical techniques
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
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and teaching. Based within NDPH, The China Kadoorie Biobank (CKB) Study is a uniquely rich and powerful global resource for investigating the environmental and genetic determinants of common chronic
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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biochemical reconstitution, electron cryomicroscopy (cryo-EM), advanced bacterial genetics, and phage biology to explore how cells and viruses control the three-dimensional structure of DNA. We investigate how
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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applications. In this role, you will take the lead on an independent project within our broader research programme. Your work will centre on identifying and characterising novel regulators of the immune response