12 linked-data "https:" "https:" "https:" "https:" "https:" PhD positions at Umeå University
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for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026, or as agreed upon. The Department of Computing Science at Umeå University is an
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Professor Alice Annelin. Within the scope of the project, you will define your own research question. The project takes an exploratory approach, allowing for a range of suitable methods for data
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research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
The Department of Physics at Umeå University ( https://www.umu.se/en/department-of-physics/ ) conducts strong research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy
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The Department of Physics at Umeå University ( https://www.umu.se/en/department-of-physics/ ) conducts strong research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy
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the benefits of being an employee at Umeå University here: https://www.umu.se/en/work-with-us/benefits/ . The candidate’s physical workplace will be in Umeå. Application You apply via our e
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information about the position: Associate professor Klara Stokes, [email protected] Further information about the Department of Mathematics and Mathematical Statistics: https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students for the research project “Next-Generation Latent Variable Models for Social Data
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project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system-level analyses of monitoring performance under changing