179 structural-engineering "https:" "https:" "https:" "UCL" "UCL" PhD positions in Sweden
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houses the Department of Astronomy, the Physics Departments at the Royal Institute of Technology (KTH), and the Nordic Institute for Theoretical Physics (Nordita). More information about us, please visit
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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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the Faculty Board of Science and Technology, and be deemed to have the overall ability required to benefit from the education (Higher Education Ordinance, Chapter 7, Section 35). General entry requirements
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community and international contacts. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Research subject: Animal Science Description: Sleep is a
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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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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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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are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is
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well as in urban areas. See also: https://www.slu.se/en/about-slu/organisation/departments/ecology/ About the position The researcher will work in the field (in southern Sweden), with statistical analyses, and
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in