181 computational-physics "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD positions in Sweden
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. Personal suitability, independence, and the ability to take initiative will be given significant weight in the selection process. For further information about the general syllabi for subjects within
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: https://www.umu.se/en/work-with-us/benefits/ . The candidate’s physical workplace will be in Umeå, starting date March 1, 2026 or by agreement. Application You apply via our e-recruitment system Varbi
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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 staff position within a Research
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of physical chemistry and materials science, with a focus on organic semiconductors, polymer blends and composites. The group develops new plastic materials for wearable electronics and energy technologies
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16 Jan 2026 Job Information Organisation/Company Karlstads universitet Department Karlstad University / Department of Mathematics and Computer Science Research Field Mathematics Researcher Profile
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. 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/ WIFORCE Research School Do you want to contribute to the future sustainable use of forests
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Division of Infection Medicine The Division of Infection Medicine
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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and Data Analytics, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303 URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job
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Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science, Communications or similar. Strong background in mathematical analysis (multivariable calculus, probability, linear systems