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, at the undergraduate, advanced and PhD levels. STIMA is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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application! We are looking for two PhD candidates in the research environment “Culture and Society” with a focus on Digital Society, Infrastructure, Legacies. Your work assignments We are advertising two PhD
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through
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/ ) at the Department of Clinical Microbiology, at Umeå University (https:// www.umu.se/en/department-of-clinical-microbiology/ ), the PhD candidate work in the Marie Skłodowska-Curie (MSCA) Doctoral Network GLYCOCALYX
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://zz.zabemon.com ) and Prof. Fredrik Lindsten (https://scholar.google.com/citations?user=GylfPngAAAAJ ). 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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researchers, postgraduate students, teachers and technical and administrative staff and we currently have about 150 PhD students. The Department is conducting undergraduate courses for medical, biomedical and
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD position in Computing Science with a focus on machine learning for graph
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During