104 parallel-and-distributed-computing Postdoctoral positions at University of Oxford
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About the role We have an exciting opportunity to join the Wood Lab in the Department of Paediatrics as our Postdoctoral Researcher This role is part of a larger interdisciplinary program focused
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machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
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-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
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months), and is full-time. Applicants will have, or be close to completing a PhD/DPhil in statistics, computer science, or related areas. They will have excellent communication skills, including
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular
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Professor Robin Evans. You will be responsible for planning and managing your own research programme within the collaboration. You will work closely with Principal Investigators and industry scientists
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30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics