104 machine-learning-"https:"-"https:"-"https:"-"UCL" positions at King's College London in United Kingdom
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner
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well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us About King’s Digital Our mission is to provide transformative, high-quality digital education, so students can learn, wherever they are. We
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sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. King’s Careers & Employability (KC&E) empowers over
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are seeking a software engineer with core expertise in computer vision and machine learning systems to join our team and help develop and deploy AI-driven functionality for a next-generation ophthalmic
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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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on integrating machine learning with natural language understanding, including large language models, and maintains strong links to real-world applications in education, healthcare, and beyond. About the role
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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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AI, machine learning, and deep learning. This is a fixed-term position, with the potential for extension. This is a full-time post 35 hours per week, and you will be offered a fixed term contract until
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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