312 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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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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include some but not all of the responsibilities outlined below. Take a prominent role in delivering the research goals of the group Conduct a research program, defined in agreement with the group Fulfil
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Closing date: 15th January 2026 Background We are seeking applications for a part time research fellow (70%fte) to work on an NIHR Public Health Research Programme funded project for 12 months. The project
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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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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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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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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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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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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