13 condition-monitoring-machine-learning Postdoctoral positions at KINGS COLLEGE LONDON
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vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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to make, an impact on how we understand, prevent and treat mental illness, neurological conditions and other conditions that affect the brain. The Department of Forensic and Neurodevelopmental Sciences
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projects and publications from the group can be found here: https://www.kcl.ac.uk/research/pavri-group About the role The project is focused on combining artificial intelligence (AI)-based machine learning
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
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complementary research programmes. About the role *Candida albicans is usually a commensal organism of mucosal surfaces but under suitably predisposing conditions can cause severe morbidity and life-threatening
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become Research Associate and the salary will increase to Grade 6. Desirable criteria Experience in working under BSL3 conditions Experience in handling and the molecular manipulation of SARS-CoV-2
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on advancing outcomes of preventive approaches by understanding what works (and doesn’t) for preventing common mental health conditions in children and young people. In 2026, the department will be based in