186 computational-physics "https:" "https:" "https:" "https:" "Ulster University" PhD scholarships in Sweden
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) Application Deadline 19 Mar 2026 - 22:59 (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
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Swedish or English. Closing date for applications: April 14, 2026 Reference number: 2625-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8
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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 research group in Structural Infection
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media and internet infrastructure computing cultures and materialities as heritage values and economies in algorithmic/data cultures social and cultural perspectives on dismantling communication networks
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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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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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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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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about the PhD programme is available at: https://www.soclaw.lu.se/sites/soclaw.lu.se/files/2021-06/ASP_rättssociologi_forskarutbildning_20201126.pdf Qualifications Requirements: A master’s degree in
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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