204 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in Sweden
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-institute-of-technology/2025/double-… Requirements Research FieldChemistryYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Faculty of Health, Science and Technology is accepting applications
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about the PhD education at SLU at this link Academic union representatives: https://internt.slu.se/min-anstallning/facket/kontaktpersoner/ The Swedish University of Agricultural Sciences (SLU) has a key
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About this opportunity: We invite applications for an industrial PhD (iPhD) position at Ericsson Research in Gothenburg, Sweden, performed in collaboration with Chalmers University of Technology
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of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at this link Academic union representatives: https://internt.slu.se/min-anstallning/facket
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areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment
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research and educational environment. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences, and behavioral sciences, with great relevance
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at JIBS. Applications for the PhD position should be submitted no later than May 15, 2026. Where to apply Website https://ju.varbi.com/en/what:job/jobID:891365/type:job/where:39/apply:1 Requirements
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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 environmental monitoring Mathematical statistics Description
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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