87 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at Imperial College London
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force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence Science focused
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of universities, informing research strategy, and determining the allocation of significant public research funding. Preparing a successful REF 2029 submission is therefore a complex institutional programme that
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prioritising key audiences across government, industry, sector bodies, research funders and international partners, and building a coherent programme of engagement activity that advances the Centre’s objectives
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reporting of SMART trials. What we are looking for This PhD is suitable for a UK resident with: Strong analytical and programming skills (e.g. R, Stata or similar) A Degree or Master’s with a substantial
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/Programme: Aeronautics Research (PhD) Research Topic: Please use reference number AE0085 Research Supervisors: Professor Matthew Santer, Dr. Paul Bruce Research Group: Aero For further information
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of the project, plan and prioritise your own research activities, and maintain accurate experimental records and data analysis throughout. You will work collaboratively within the National Alternative Protein
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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across West London, we will be looking at the impact of air quality on our health and delivering a programme of outreach and public engagement. The Research Assistant is crucial to the success
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, procurement, and professional services to support Imperial’s strategic ambitions. Over the next 6–12 months, Imperial will embark on a substantial programme of retendering and awarding key service provider
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postgraduate teaching programmes including the development of a proposed new undergraduate programme in Data Science for Health. You will carry out research and teaching activities and raise research funding