576 computer-programmer-"U.S"-"U"-"University-of-St"-"U.S" Fellowship positions in United Kingdom
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research programme that rethinks how container supply chains (CSCs) are studied in the context of risk, resilience, and sustainability, as part of a prestigious European Research Council (ERC) initiative
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, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation for environmental monitoring and management in
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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the ERA Chairs Call of the Horizon Europe Programme, the EU’s primary funding program for research and innovation. The synthesis centre hosts collaborative interdisciplinary working groups from outside
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Economic Evaluation of a family intervention. The evaluation is being funded by the National Institute for Health and Care Research Three Schools Prevention Research Programme. We invite applications from
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), and a detailed research programme (maximum 5 pages), and names of two referees. Please send as a single PDF file. The University of Oxford is committed to equality and valuing diversity. All applicants
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Health programme (Chief Investigator, Dr Matthew Franklin ) to evaluate the (cost-)effectiveness of mental health treatments used with Talking Therapies for anxiety and depression services using NHS real
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motivated Research Fellow with a strong background in statistical genetics and/or computational biology to join our team. The successful applicant will lead a cutting-edge research programme which aims
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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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This research assistant post provides an exciting chance to support a Cancer Research UK funded programme of research that aims to improve access to lung cancer early detection for individuals with