93 computer-engineer-"https:"-"https:"-"https:" 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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The Qing Laboratory at Oxford is recruiting postdoctoral researchers (multiple positions available) to join a Bill & Melinda Gates Foundation–funded programme focused on developing innovative
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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an ongoing programme focused on metabolic profiling and target validation to support TB drug discovery. The role will involve the application of liquid chromatography–mass spectrometry (LC-MS
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tuberculosis . The post is full-time and available immediately. The post holder will be responsible for carrying out research within a defined area of an ongoing programme focused on metabolic profiling and
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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applicant will hold, or be close to completion of, a relevant PhD, together with appropriate research experience in conservation technology and its application to African carnivore ecology and conservation
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using