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models, techniques and methods Undertake management/administration arising from the research project Person Specification Essential Criteria Honours degree (minimum upper second) and/or Master’s degree in
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Environmental Sciences, Computing Science and Mathematics, Psychology, and the Institute of Aquaculture. FNS is a distinctive academic arena where new fundamental understandings of the complex and challenging
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with diagnoses such as Borderline Personality Disorder. The role will be key in supporting the Research Fellow and Hub Director to deliver the research programme, whilst working closely with partners
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(R3) Country United Kingdom Application Deadline 23 Sep 2025 - 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
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to published outcomes. The role holder will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. Candidates
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programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
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Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and inclusive culture in research and
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the Research Fellow and Hub Director to deliver the research programme, whilst working closely with partners including the Lived Experience Advisory Panel. This role includes contributing to research ethics
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programming skills in Excellent knowledge of experimental methods and experimental design in Psychology Knowledge of best practice in individual-differences research Evidence of excellent oral and written
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University (Canada), are working on a project funded by the Human Frontiers Science Program to investigate the mechanisms that underpin the expression of emotional body odours, such as the smell of fear. Many