236 quantum-computer-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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- VIN UNIVERSITY
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genetics, AI in healthcare, precision medicine, and computational biology. Role holders will be expected to plan and manage their own research and administration, with guidance if required. They will be
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drawn from a variety of experimental approaches, refining research directions as appropriate. In addition to driving their own research programme, the appointee will contribute to the generation of new
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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literacy and managing online behaviours over the past two decades. We are looking for an individual who is interested in carrying out the project’s research programme under the supervision of Dr Ekaterina
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates...
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LOCATION: The Middle East Studies (MES) Programme at Oxford School of Global and Area Studies (OSGA), 12 Bevington Road, OX2 6LH About the Role: The Oxford School of Global and Area Studies (OSGA
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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About the Role The appointed individual will conduct research in collaboration with, and under the supervision of, Dr Karine Rizzoti, contributing to a research programme investigating the dual