60 parallel-and-distributed-computing-"Meta"-"Meta" research jobs at KINGS COLLEGE LONDON in United Kingdom
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate. We are a globally recognised center of excellence in artificial intelligence, robotics, and computer
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About Us The Sailem Group is a dynamic, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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cancer organoids from Black male patients. The project will seek to characterise the viability of organoids in response to standard of care chemotherapy and novel agents. In parallel the project will seek
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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About Us The Department of Informatics is a vibrant research environment covering a wide spectrum of computer science and adjoining topics. Research in the department is investigating ways
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programme on children and young people attending the UK Gender Services because of gender incongruence. PATHWAYS is a research programme with multiple workstreams whose aim is to understand young people with