104 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Lund University" positions at Imperial College London
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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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(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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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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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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multidisciplinary environment. Ability to use a variety of software to plan, evaluate and present data with clarity and accuracy. The opportunity to continue your career at a world-leading institution and be part of
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. Grow in your career with tailored training programmes for academic staff including dedicated support with navigating your career and managing research as well as a transparent promotion process. Sector
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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