70 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" uni jobs at Imperial College London
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator
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Multi-Scale Modelling Project, working within a nationally coordinated programme tackling the most pressing challenges in battery science. Playing a key role in advancing PyBaMM (https://pybamm.org
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medical school in Carlisle. Our unique four-year graduate entry programme, launched in August 2025, aims to fully support and prepare students for the demands of learning, assessment and their ongoing
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people from all walks of life and particularly, with young people? If so, you could join Imperial as the Makerspace Programmes Manager. You will manage the Makerspace workshop and Makerspace team who
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seeking to maximise Imperial's potential as a force for good in the world. Our Imperial Class of 2030 programme will nurture the most talented, enterprising and diverse graduating class we have ever served
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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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.'’ What you would be doing: The successful candidate will work closely with Dr Steven Sivek on some aspects of the EPSRC grant titled "Floer homology and monodromy." This position is well-suited
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offer you an exciting opportunity to developan independent research programme building on existing strengths in one of the departments within the Faculty of Medicine. You will contribute to a research
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and our excellent professional development opportunities, here: http://www.imperial.ac.uk/jobs/benefits/ We have an opening for a position as a Postdoctoral Research Associate in the Department
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning