582 computer-science-intern "https:" "https:" "https:" "U.S" Postdoctoral positions in United Kingdom
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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
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, working with some of the world’s largest single-cell data assets, and in the context of the world’s largest longitudinal population studies, including CanPath and UKBiobank, as well as other international
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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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or functional epigenomics. In addition, computational biology experience is essential for one of the positions and experience or interest in advanced experimental models is essential for the second role. A track
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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maximum of six hours per week. About you You will have a PhD (or near completion) in a relevant discipline (e.g. geography, GIS, data science, public health, or a related field) or equivalent research
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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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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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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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papers. An ability to analyse data in R, MATLAB or Python is essential. The candidate will join an international, multi-disciplinary team with cross site visits throughout the project. A PhD student also