197 associate-professor-computer-"https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" PhD positions in Sweden
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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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First Stage Researcher (R1) Application Deadline 5 Feb 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
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(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 Job related to staff position
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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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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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. The position is a permanent employment with Ericsson. As an industrial PhD (iPhD) you will be employed by Ericsson while also enrolled in the doctoral programme in Electrical Engineering at Chalmers
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School for the Transformation of the Public Sector (https://www.mdu.se/research/graduate-schools/graduate-school-fofos ). FOFOS is coordinated by Mälardalen University and is part of SustainGov (https
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and 3D electromagnetic simulations is considered a significant advantage. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and
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University campus. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department-of-ecology-and-environmental-science/
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as