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you will be a member of the Mathematics Institute. About You The successful candidate is likely to have a strong background in mathematics, statistics, computer science, physics or engineering
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interdisciplinary team comprising chemists with expertise in organic chemistry, reactor design and innovative process analytics, and engineers with skills in fluid modelling, Life Cycle Assessment and sustainability
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Technologies, Physics or a closely related field (e.g. Electronic / Electrical Engineering, Computer Science). They should have a track record of high-level research in THz systems, quantum technologies
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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and Physical Sciences Research Council) project: 3D Polysilicon Photonics - A New Platform for Integrated Optoelectronics. The research will focus on the development of a flexible polysilicon platform
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
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collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team. This is an outstanding opportunity to develop a
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Job id: 121425. Salary: £53,149 to £57,566 per annum, including London Weighting Allowance. Posted: 30 July 2025. Closing date: 20 August 2025. Business unit: Faculty of Life Sciences & Medicine
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About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in