12 computational-science-"https:"-"https:"-"https:"-"UCL" PhD positions at Umeå University
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spring semester. Project description and duties Are you a biomedical laboratory scientist with a strong interest in experimental research in microbiology, molecular biology and microbiome science
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environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within an international and collaborative research environment
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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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At our department, which conducts research at the highest international level and offers several high-quality educational programs in Computer Science, we are now seeking 1-2 PhD Students with a
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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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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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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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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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period of doctoral study is then extended accordingly. For more information about doctoral studies: https://www.umu.se/en/research/research-with-us/doctoral-studies/ https://www.umu.se/en/usbe
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analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse educational backgrounds, including biostatistics, computational sciences, physics, bioinformatics