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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting
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about the position: Sebastian Throm, Assistant Professor, sebastian.throm@umu.se or Konrad Abramowicz, Head of Department, konrad.abramowicz@umu.se Further information about the Department of Mathematics
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Are you interested in developing computational tools and learning strategies for understanding health and disease at the microscopic scale? Would you like to be part of a research team with skilled
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. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are
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the humanities, the social sciences, clinical practice, and biomedicine. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral
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multiagent dynamics, with special focus on human decisions and opinion dynamics. The research will deal with both theoretical and computational aspects. The student will develop dynamical models and apply them
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, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b
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of full-time. Your qualifications You have graduated at the Master’s level in Molecular Biology, Computational Biology, Immunology, or a related field, or completed courses with a minimum of 240 credits