67 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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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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experiences. As a Placement and Internship Adviser, you will combine relationship management, student support, operational planning and programme delivery to ensure these opportunities are high-quality, well
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with Imperial’ s Strategy: Science for Humanity . You will broaden Imperial’s research capabilities, complementing our existing strengths. You will build on a successful programme of engagement and
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working
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of contact for all stakeholders, and will be central in incubating a collaborative and collegial multidisciplinary culture. You will have the ability to manage a varied and busy programme of activities with a
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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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(or equivalent) in engineering, physics, mathematics, computer science, or economics. How to apply: Please choose the Electrical and Electronic Engineering Research Program and the Control and Power Group, then
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, or an equivalent level of experience. Project/programme management experience, coordinating internal and external activities to meet deadlines. Experience influencing the successful delivery of outputs
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of a variety of programmes and initiatives that engage young people under the age of 18. This role will support young people from a wide variety of backgrounds, from the UK and worldwide, to access and
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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