225 computer-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions in United Kingdom
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intelligence shapes welfare governance and migration management across Europe. The role is jointly based in the School of Society and the Environment and the School of Electronic Engineering and Computer
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher in Computational and Systems Biology to lead innovative research
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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the REF Working Group and Unit of Assessment (UoA) Lead to provide specialist administrative support for the Department of Computer Science’s submission to REF 2029. The postholder will ensure relevant
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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for defossilising chemical manufacturing. The position sits within the Centre¿s Moonshot programme, focused on ambitious new approaches to sustainable chemical production. The post is offered on a fixed term basis up
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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Location: Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial