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Role: Research Fellow in Artificial Intelligence - Future Medicines Institute Department: School of Computing Grade: Grade 8 (£48,822 per annum) Responsible to: Principal Investigator Campus
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The role This is an exciting opportunity for a GP with an interest in skin and infection research to join the Centre for Applied Excellence in Skin & Allergy Research (CAESAR). CAESAR is a multi
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This is an exciting opportunity for a GP with an interest in skin and infection research to join the Centre for Applied Excellence in Skin & Allergy Research (CAESAR). CAESAR is a multi-disciplinary
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Overview The School of Electrical and Electronic Engineering at the University of Sheffield seeks to appoint a Research Fellow on a full-time fixed-term contract for four years. This is a rare opportunity for the successful applicant to develop further towards leading an independent academic...
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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involved in the release of alarm odor molecules are unknown. The most likely source is the skin microflora, which mediates several other social odors. The project aims to elucidate the chemical and microbial
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on a fixed-term basis, within the Faculty of Environment, Science and Economy. The post Are you ready to push the frontiers of science at the interface between biology, biophotonics, and artificial
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Healthcare Digital Twins. This role offers an exciting opportunity to contribute to the fast-growing field of Artificial Medical Intelligence. The successful candidate will design and develop advanced AI/ML
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of the following areas: Artificial Intelligence, Quantum Technologies and Autonomous Vehicles. Recent relevant experience to include: Software development for real-world applications or simulation Demonstrable
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Surgery group (artificial-intelligence.leeds.ac.uk/aims ). You will have the opportunity to collaborate with other academics and clinical team (Shahid Farid, project co-lead, Leeds Teaching Hospital NHS