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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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: Experience implementing Quantum Monte Carlo methods. Experience applying Machine Learning methods to scientific problems. About the School The School of Physical and Chemical Sciences is one of the UK’s elite
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About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but
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digital repositories, facilitate participatory co-design workshops with creative practitioners, and contribute to internationally significant research outputs. About you PhD (or near completion) in a
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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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, orally, in writing and electronically and contribute to dissemination and impact-facing activities under the guidance of the Principal Investigator. Applicants will possess a relevant PhD (or nearing
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candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills
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The University of London The University of London is both the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 renowned higher education
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offered a fixed term contract for 18 months. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD in Law/Socio