260 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"Inserm" Postdoctoral positions in United Kingdom
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- VIN UNIVERSITY
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membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps
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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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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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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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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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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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of the project's conceptual approach and to the preparation and planning of the research, undertake fieldwork and archival research in the UK and one of the three overseas locations, co-design and plan the sensory
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should be centred on fertility and reproduction, with a clearly demographic approach. They should present a clear and realistic work plan for this short-term role. The Department of Demography
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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad