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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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https://www.kau.se/en/csd https://www.kau.se/en/smeer Duties As a doctoral student, you will primarily dedicate time to your own studies. The doctoral programme comprises 240 credits for a Degree of
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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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(R1) Application Deadline 19 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 2 months ago
) Application Deadline 10 Feb 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to
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Researcher (R1) Application Deadline 6 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
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of Excellence. The Department of Historical, Philosophical and Religious Studies invites applications for the doctoral training programme in history. The Department of Historical, Philosophical and
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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 Post doctor within mucosal B cell immunology “The Department
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of Excellence. The Department of Historical, Philosophical and Religious Studies invites applications for the doctoral training programme in philosophy. The Department of Historical, Philosophical and
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program and have experience in applied artificial intelligence, data engineering, and programming. You should be interested in working across the entire machine learning pipeline. Since part of the work