125 computational-physics-superconductor Postdoctoral positions at University of Oxford in Uk
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to completion) in atmospheric physics or related fields. Experience in atmospheric physics and track record in atmospheric modelling and the constraint of atmospheric models with observations are essential as
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with the Institute of Physics and Institute of Physics and Engineering in Medicine. As part of the BRC funding, they will work with Professor Gleeson and Dr Grist in the Oxford Radiology Research Unit
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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The MRC Brain Network Dynamic Unit (BNDU, University of Oxford) is seeking a Postdoctoral Research Assistant to undertake a program of research under the supervision of Dr Ashwini Oswal (Oswal Group
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical statistics or statistical genetics. You must
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely