317 computer-engineer-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Witt Lab for Trust in AI (OWL) in the Department of Engineering Science (Central Oxford). The post is funded by Open
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We are seeking a full-time Postdoctoral Research Assistant to join the Environmental Fluid Mechanics Group at the Department of Engineering Science in central Oxford. The post is externally funded
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interface of hardware and software for world-leading observatories, and collaborate with international teams of scientists and engineers – then welcome to the team! Our ground-based astronomical
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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Specification Essential Criteria: Qualifications 1. An excellent first degree in area of specialism (e.g., cyber security, computer science, maths, or electrical engineering) 2. Normally, a PhD (or be close
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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic fertilisers
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and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics