23 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" research jobs at Imperial College London in United Kingdom
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The role will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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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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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
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to fulfil clinical commitments within Imperial College Healthcare NHS Trust, among others, to contribute to their on-call rotas. Grow in your career with tailored training programmes for clinical staff
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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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research programme focusing on evidence generation to further methodology research and to enable the design and development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR HRC IVD
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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
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in developing and applying computational approaches to access, clean, harmonise, and integrate complex biomedical datasets, including prescription records, longitudinal clinical data, wearable time