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, policymakers and scientists, you will build an account of how animal health is organised and enacted in practice. This work will contribute to a wider comparative programme with collaborators in Bangladesh and
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researchers and data scientists. In this project, the postholder will focus on developing and running the IBD cohort studies aligned to this program. This post is full time and fixed term for 1 year with
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. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z-of-benefits/benefits-a-z.aspx As part of our commitment
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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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– a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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Application Deadline 8 Mar 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme
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, including functional Magnetic Resonance Imaging (fMRI), functional Ultrasound Imaging (fUSi), and computational modelling of emotion-related behaviours. This is a full-time, fixed-term position starting
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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) to join an interdisciplinary research programme addressing challenges associated with the analysis, monitoring, and improvement of complex engineering systems, with applications in energy and infrastructure