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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in Machine Learning, Artificial Intelligence, Bioinformatics, Biostatistics, Epidemiology
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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educational attainment. The ideal candidate will have a PhD in environmental media studies or cognate discipline. They will have strong qualitative analytical skills and be equipped to analyse how media shapes
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20 Months, Fixed Term Full-Time Post Position Summary Applications are sought from PhD graduates with experience in synthetic organic chemistry to undertake an exciting research project in
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at PhD level, ideally as applied to lactic acid bacteria, is required. Experience of handling data from metagenomics with shotgun sequence data, ideally in combination with RNAseq data and metabolomics, is
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empowers the potential and the diverse spaces of civic engagement within the city. The ideal candidate will have a PhD in a relevant discipline, with strong community research and qualitative analytical
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be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
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should have a PhD degree (or expect to receive a PhD degree by June 15, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g