19 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at King's College London in United Kingdom
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disorder. Desirable criteria Experience applying advanced statistical or machine learning methods to complex datasets. Evidence of involvement in grant writing or development of independent research ideas
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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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scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role Applications are invited for a talented and enthusiastic postdoctoral
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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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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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, purchasing, grants management, equipment maintenance and lab meeting. Desirable criteria Advanced computer skills, including word-processing, spreadsheets and the Prism software Record of publishing in high
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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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from all over the world, and teach them to engage in innovative and interdisciplinary approaches to understanding music and its experience. The Department hosts highly acclaimed lectures, conferences