279 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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modelling reduced‑order or low‑order modelling scientific programming (e.g. Python, MATLAB, etc.) You should be able to work independently and collaboratively, communicate your research clearly, and
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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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the research group of Professor Elena Besley to work on the “Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)” Programme Grant. The NEED2D project funds a team of
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modelling reduced‑order or low‑order modelling scientific programming (e.g. Python, MATLAB, etc.) You should be able to work independently and collaboratively, communicate your research clearly, and
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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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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