268 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" Postdoctoral positions in Sweden
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(UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Recognised Researcher (R2) Application Deadline 12 Apr 2026 - 21:59 (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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) Application Deadline 1 Apr 2026 - 21:59 (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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description at the Division of Biomedical Engineering Department of Materials
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fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be
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: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 Job related to staff position
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Informatics Computer science » Programming Computer science » Other Educational
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First Stage Researcher (R1) Application Deadline 13 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
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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 Description of the workplace The Department of Electrical and Information
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models