16 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs at King's College London
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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treating mental ill health ( http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest academic groupings of clinical and health psychologists. It is
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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community?’, and ‘How have you contributed to broader society?’ See here for more information about these questions: https://royalsociety.org/topics-policy/projects/research-culture/tools-for-support/resume
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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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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and