204 structural-engineering-"https:" "https:" "https:" "Simons Foundation" "Simons Foundation" PhD positions in Sweden
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core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as
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department's activities is available at https://www.uu.se/en/department/medical-sciences Project Description This doctoral position is part of HEPARD (Health Economic Policy Advice with Real-World Data), a Marie
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: Department of Forest Biomaterials and Technology | slu.se Department of Forest Genetics and Plant Physiology | slu.se Read more about our benefits and working at SLU by visiting https://www.slu.se/en/about-slu
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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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Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine genetics and data from real-world forestry to better
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laboratory engineers, two project assistants, and one MSc student. The group is now looking for a driven and motivated candidate for doctoral education. The position is full-time and limited to 48 months
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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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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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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