50 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Swedish University of Agricultural Sciences
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also operates at research stations, experimental forests and teaching sites throughout Sweden. Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu
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. The candidate will apply and further develop computational workflows (e.g., R) for compound identification in complex matrices, with emphasis on R‑based data evaluation and visualization. The position also
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and administrative staff. For more information about the department visit: www.slu.se/aquatic-sciences Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu
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they gain experience during the programme. Your profile You have a degree as a Veterinarian from an approved education in Sweden or another EU/EEA country or in Switzerland, and have the right to work
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. More information on English language requirements can be found at: https://www.slu.se/utbildning/program-kurser/forskarutbildning/att-bli-doktorand/ Please note that applicants invited to interview must
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Mar 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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of Applied Animal Science and Welfare Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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approaches to identify, assess and manage chemical risks in water. In this project, funded by Water Wise Societies (Impact Innovation programme), we will work with the water sector to develop a new praxis for
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en