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of the short-duration of this post. Main Duties and Responsibilities Perform the following activities with the support of an academic mentor: 1. Complete a programme of writing as outlined in your application
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of the effectiveness and impact of a training programme. Experience Essential: E1. Sufficient relevant research, training, or engagement experience (or equivalent) appropriate to an early career level. E2. Experience
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Job Purpose You will contribute to/make a leading contribution to a programme grant awarded by British Heart Foundation entitled: Targeting RUNX to Attenuate Adverse Cardiac Remodelling and
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) (Principal Investigators). The applicant will make essential contributions to a research programme focussed on unravelling the interplay between ageing fibroblasts and immune cells in immune mediated
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Job Purpose To make a leading contribution to the Scottish Funding Council Data Challenge project working with the Prof Terry Quinn and the Brain Health ARC in the research disciplines of dementia and data analysis. The successful candidate will also be expected to contribute to the formulation...
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists
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of the following: machine learning, deep learning, computer vision, omics data analysis. E3 Experience of scientific writing. E4 Proven ability to deliver quality outputs in a timely and efficient
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completed an EPSRC-funded doctoral programme as per funding conditions. A2 Specialist theoretical and practical knowledge of current issues in suicide research and prevention. A3 A comprehensive and up-to
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Job Purpose You will contribute to/make a leading contribution to the ongoing research in optical wireless communications and sensing. The role requires expert knowledge in information theory, optimisation theory, physical layer design, machine learning, and their applications to wireless...
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tissue-level determinants of proarrhythmia in an experimental model of long QT syndrome (LQTS) with translation into novel risk stratification approaches using computational modelling. The successful