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experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial
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St Lucia location About This Opportunity This is a full-time, fixed-term position for three years, based at The University of Queensland, School of Mathematics and Physics. The position is part of
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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. Department: Department of Women & Children's Health. Contact details:Professor Lorna Fraser. lorna.fraser@kcl.ac.uk Location: St Thomas' Campus. Category: Research. About Us The School of Life Course
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
of “clouds”. Popular discussions revolve around the topics of data protection, algorithmic regulation, and asymmetric ‘technological dependencies’ that raise concerns around monopolies and “digital sovereignty
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image analysis pipelines, algorithms, and quantitative methods. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
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interdisciplinary teams, the design and execution of research studies and data analysis, with an overall goal to further the mission of St. Jude to advance research and cures for pediatric catastrophic diseases. St
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St Lucia location About This Opportunity We are looking for an exceptional Postdoctoral Research Fellow to join the Precision Atomic Theory Group at The University of Queensland. This full-time, fixed
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 hours ago
genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts