387 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:"-"UNIV" Fellowship positions in United Kingdom
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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resource requirements and use resources effectively Contribute to the planning and organising of the research programme and/or specific research project Knowledge of the protected characteristics
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for a highly motivated and talented researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant
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Assistance Program For more information check out our benefits page! Your new team - Department of Infectious Diseases The Department of Infectious Diseases at the Peter Doherty Institute conducts impactful
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for Selective Absorbers. Your primary role will be to undertake theoretical and computational research on hyperuniform disordered photonic materials for frequency-selective solar-thermal absorbers based on metal
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computational fluid dynamics. This full-time role will be based at Exeter’s flagship Living Systems Institute. The successful applicant will develop new approaches to studying the behaviour of single-celled
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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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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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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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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience