194 embedded-system "https:" "https:" "https:" "https:" "UCL" PhD positions in Sweden
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31 Jan 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry
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Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a diversity of high-quality education and world
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led by Mälardalen University and is part of SustainGov (https://www.sustaingov.se/ ), one of Sweden’s five Impact Innovation programmes. The initiative is funded by the Swedish Energy Agency, Formas
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You apply through our recruitment system on 30 March 2026, at the latest (https://umu.varbi.com/en/what:job/jobID:905098/ ). The application, written in English, should include: A short (max 2 pages
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Subject area: Economics Description of the doctoral project The Environmental Economics Group is seeking two doctoral students. The selected candidates will study advanced courses in economics
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Initiatives in Forest Research, WIFORCE, read more here: https://www.slu.se/om-slu/organisation/fakulteter/fakulteten-for-skogsvetenskap/wallenberg-initiatives-in-forest-research/om-wiforce/det-har-ar-wiforce
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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9 Mar 2026 Job Information Organisation/Company Luleå University of Technology Research Field History Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 12:00 (UTC
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: link - Microbial Biotechnology Read more about our benefits and what it is like to work at SLU at this link . Research subject: Biologi Description: We are looking for a highly motivated doctoral student
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learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce inference and deployment costs