689 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions in United Kingdom
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Postdoctoral Research Associate: An exploration of the relationship between funding and medal targets, and athlete experience. ( Job Number: 25000663) Department of Sport & Exercise Science Grade 7
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the
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Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone to have all the skills
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/2028. About You You will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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-year position funded by a Wellcome Neuroscience in Mental Health award. The GPS (Goal Planning in Psychosis) study is a unique cross-disciplinary, cross-species programme investigating how prefrontal