202 algorithm-development "https:" "Simons Foundation" positions at King's College London
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the following area: The more details can be kindly found as below: Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms
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About you This role sits within King’s Digital, an innovative and collaborative team driving the development of online education at King’s College London. In partnership with academics
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About us The Health Research Development team supports research income generation activity across the four health faculties at King’s. Our team focuses on helping faculties deliver King’s health
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under a “Specials” manufacturing license, currently producing [18F]fluorodeoxyglucose (FDG), [11C]methionine, [18F]FSPG and [18F]DCFPyL-PSMA routinely, with ongoing development of additional
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Professional & Executive Development (KPED) is a central directorate and business owner of Professional Education at King’s. KPED work with King’s nine faculties to deliver professional education to a wide
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department’s drive for service excellence, financial sustainability and strategic growth. A key responsibility is to develop and implement 3-year business development strategies that identify and create new
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effects in complex biological systems. The post will include implementing and optimising quantum-dynamical simulations, developing gradient-based optimal control algorithms for periodically driven open
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-Based Healthcare https://www.aicentre.co.uk About the Role This post will support the development and early implementation of an NHS-ready, AI-assisted CMR reporting interface (edgeCMR). The role is
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the rigour of academia with the agility of a consultancy and the connectedness of a think tank. This role sits within the Evidence Development and Incubation Team (EDIT), a specialist evaluation team within
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RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment