415 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" uni jobs in Sweden
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 5 Mar
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than 1,800 employees and nearly 21,600 students. The Machine Learning group at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is now looking for students
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an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied
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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 Job related to
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representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development
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Description of the workplace The position is in the Graphics Group (graphics.cs.lth.se), which is a part of the Department of Computer Science. The Graphics Group has a long history of
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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computation, providing a framework for dealing with the detrimental effects of noise. The framework of QEC addresses this challenge through three key steps: encoding, error detection, and error correction
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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 Do you want to work on enabling groundbreaking, data-driven Life Science
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a