21 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at King's College London
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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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, and human-centred computing. You will join the Vision & Human-Robot Interaction (VHR) Lab, a multidisciplinary research group working at the intersection of robotics, machine learning, and human
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(chemoradiotherapy) management is based at the purpose-built Cancer Centre at Guy’s Hospital. We have close working relationships with the Haematologists to diagnose primary CNS lymphoma and the CAR-T service
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working remotely. Proactive attitude, showing initiative when faced with challenges and demonstrating problem-solving skills. Have access to a car, insurance and a UK driving license Desirable criteria MSc
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, to organise and manage own workload while working remotely. Proactive attitude, showing initiative when faced with challenges and demonstrating problem-solving skills. Have access to a car, insurance and a UK
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our teams, you would therefore have the opportunity to learn more about a wide variety of techniques relevant to pain research, as well as become a member of the Wolfson SPaRC – a world-leading