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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
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career and as an opportunity to further deepen and broaden research expertise. Instructions on how to apply For more information and documents/templates/europass link, please visit https
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has active links with the private and public sectors. For more information see
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climate conditions, ecology and human mobility. There is a collaborative link between Umeå University and Lund University. Description of duties The postdoctoral researcher is expected to engage in advanced
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consist of research in forest products, with a focus on exploring how data can support the needs for wood material use in construction and furniture businesses. The research supports the forest and wood
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meetings, present results pedagogically, write reports and papers, and have a positive attitude. You will be responsible for planning, executing and analysing data and should enjoy working in a vibrant and