85 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at University of Oxford
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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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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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of Oxford and Fortescue Zero, co-funded by UKRI-EPSRC: “A Prosperity Partnership in Energy Storage for Decarbonisation between the University of Oxford and Fortescue Zero.” The programme seeks to position
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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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organisation across species. This will be a key pillar of a larger UKRI-funded research programme developing anatomy-driven artificial intelligence methods for fundamental and translational neuroscience. Working
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internationally leading programme of research. You should possess significant knowledge in physical acoustics in the ultrasonic regime, cavitation physics, the design and construction of high-powered ultrasound
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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