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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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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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) (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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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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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
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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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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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The World. Knowledge, Qualifications. Skills and Experience Knowledge and Qualifications Essential: A1 SCQF Level 10 (Honours degree) in Computing Science or a relevant subject. A comprehensive and up-to-date
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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...