148 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Oxford
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The Qing Laboratory at Oxford is seeking a highly motivated postdoctoral researcher to join a NERC-funded Pushing the Frontiers of Environmental Science programme focused on advancing nanopore
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), computing sensitivity kernels and applying the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency
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executing experiments, and contributing conceptually to the overall research programme. Good organisational and communication skills and the ability to work as part of a team are essential. This is a full
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and
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. They will be able to manage and prioritise a busy and varied academic workload and take a collaborative approach that fosters the development of professional and effective working relationships with key
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management oversight. A separate ground-breaking experimental medicine programme will enable the analysis of samples generated from participants for the development of novel biomarkers. The EXPERTS-ALS
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to the overall research programme. Good organisational and communication skills and the ability to work as part of a team are essential. This is a full-time position available for 3 years in the first instance
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will play an important role in the development of next-generation programmable delivery systems for nucleic acids and biologics, with a focus on lipid nanoparticles (LNPs) and engineered extracellular
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive