152 postdoc-position-in-image-coding Postdoctoral positions at University of Oxford in United Kingdom
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Location: South Parks Road This is an exciting opportunity to help shape the direction of a new research group, and supervise PhDs and Masters’ students. We are looking for an independent postdoc
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including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and predictive analysis for Novartis Oxford collaboration for AI in medicine. The collaboration
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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for light-harvesting applications. The position is available for a fixed term of 36 months from time of appointment. This project is associated with a new EPSRC/UKRI-funded project entitled “Tailoring
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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at barrier surfaces. The work will combine advanced flow cytometry, immunohistochemistry, functional antimicrobial assays, confocal imaging and molecular techniques, alongside state-of-the-art imaging
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/knockdowns in iPSC derived systems e.g. with shRNA, lentiviral transductions and CRISPR/Cas9. Excellent organisational and communication skills are essential. This is a full-time position available for 2 years
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We are delighted to offer a 28-month position for a Postdoctoral researcher to join the hyperpolarised Xenon-129 and Carbon-13 (13C) groups at the Oxford Centre for Clinical Magnetic Resonance
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the