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, or parallel computing. Strong programming skills. First research experience through peer-reviewed publications is meritorious. After the qualification requirements, great emphasis will be placed on personal
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and Product Development, where multiple externally funded research projects are conducted in parallel in close collaboration with industry, public authorities, and international partners.The successful
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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
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Communication, professional programme Agriculture and Rural Development and Landscape Architecture Programme), as well as a Bachelor’s programme in Sustainable Development and Economics. The department is the
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Cybersecurity and Software Engineering. The position is in collaboration with the Department of Computer Science, which covers a broad range of topics, as Theoretical Computer Science, Parallel Systems, Robotics
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
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; develop, lead and participate in teaching at first, second and third cycle level; primarily teach within the veterinary program, in addition to other components at first, second and third cycle level
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Recognised Researcher (R2) Country Sweden Application Deadline 6 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The position is in the Embedded Systems Design (ESD) group of the Parallel
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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing