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Field
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About us The evidENT team, which is part of UCL's Ear Institute applies artificial intelligence to address challenges in hearing healthcare. We are a multidisciplinary group of clinicians, data
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limited to it): Philosophy/epistemology of contemporary physics Philosophy/epistemology of contemporary mathematics Philosophy/epistemology of contemporary logic. Philosophy of Artificial Intelligence (AI
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://www.rug.nl/research/discrete-technology-production-automation Qualifications You have A Doctoral degree in Biomedical engineering, Artificial Intelligence, or other equivalent degree programs from top
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associated with the research group of Professor Christopher Yau based in the Big Data Institute at the University of Oxford. The role will involve developing novel artificial intelligence (AI)-based methods
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application-inspired. To strengthen the Department Data Science in Bioeconomy, we are offering the following positions Two Postdoc Positions (100 %) in the Field of Artificial Intelligence. Together we develop
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Institute (DERI). DERI is Queen Mary’s flagship University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI
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projects and publications from the group can be found here: https://www.kcl.ac.uk/research/pavri-group About the role The project is focused on combining artificial intelligence (AI)-based machine learning
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to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real-world evidence on the use
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of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in computer science, AI, mathematics, or a related discipline, with a research track record in computational
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INSAIT - The Institute for Computer Science, Artificial Intelligence, and Technology, INSAIT Position ID: INSAIT -INSAIT -POSTDOC_THEORY [#29494] Position Title: Position Location: Sofia, Sofia