111 computer "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Imperial College London
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of Brain Sciences, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5
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accuracy Excellent organisational and planning skills, to build and maintain systems and processes Excellent computer skills with an understanding and demonstrable experience of Microsoft Office, Excel
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01/04/2026. To design and synthesise precursors and molecular probes for imaging and molecular radiotherapy studies. To analyse these probes as part of the chemistry development programme by methods
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after:hours (adult education) programme. The role involves teaching undergraduate students from a scientific, technical, or medical background and leading a team of teaching fellows. Reporting to the Languages
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to the success of a top‑ranked computing department. A supportive, collaborative and diverse working environment aligned with Imperial’s values of Respect, Collaboration, Excellence, Integrity and Innovation
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are delivered safely, sustainably, on programme, within agreed budgets, and with consideration of whole-life costs. Working closely with the CPPM and/or Project Manager, you will liaise with departments and
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computer literate, (e.g. Microsoft Word, Excel, Outlook) and experience of a computerised diary/booking system (ideally Kx) required Have excellent interpersonal and communication skills Tact and diplomacy
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall