450 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral research jobs in United Kingdom
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work can be found at https://www.aston.ac.uk/latest-news/aston-institute-membrane-excellence-receives-ps500000-grant-wolfson-foundation-state Please upload your CV, including a list of scientific outputs
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@newcastle.ac.uk Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research
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@newcastle.ac.uk Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early
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About the role The SalGo Team ( https://salgo.web.ox.ac.uk/ ) at the University of Oxford’s Department of Biology seeks a Postdoctoral Researcher to join the NERC Pushing the Frontiers project
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) Country United Kingdom Application Deadline 19 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Deadline 19 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Duties and Responsibilities 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy. 2. Document
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis