408 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" Postdoctoral positions in United Kingdom
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Applications are invited for a Postdoctoral Research Assistant in Plasma Accelerators at the John Adams Institute for Accelerator Science. The post is available for a fixed-term duration of 24
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shape the experiences of migrants and the practices of welfare bureaucracies. The successful applicant will be based in the Department of Sociology, Politics and International Relations and will work
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instance), working full-time for 37.5 hours per week, though where possible, part-time arrangements may be considered. About You With a background in materials science, physics, engineering, computer science
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About The Team: SRUC is unique in Scotland and one of the largest organisations of its kind in Europe. Our ambitious and exciting vision is to work at local, national and international levels
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polymers, foams and composites. The role is highly hands‑on and creative: you will manufacture new polymer formulations, refine processing routes, and carry out mechanical, fracture, thermal and
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with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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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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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong