515 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "UNIV" Fellowship positions in United Kingdom
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Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such will not be eligible. *Most applicants will be expected
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post or completed CCT and looking for the opportunity to undertake an out of program research project to result in the award of a PhD. You will have obtained MRCP or equivalent and be working towards
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materials, with microwave metamaterial and device designs, to help develop a new class of reconfigurable electromagnetic structures. This will involve using various simulation programmes, both for mechanical
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doctorate in Classics or Philosophy (awarded since 1 October 2021), or close to completion (submission expected by 1 October 2026); have a coherent proposed research programme for the duration
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major, transformative UKRI-funded programme, tackling one of the most urgent global health challenges. The successful candidate will join a vibrant, interdisciplinary collaboration bringing together
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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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their skills outside PhD study, those who currently hold a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such
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capture data from these; establish new concepts, methods and tools; prepare and deliver publications; participate in the community programme of events; and undertake visits and placements at industry and
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD