865 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
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:00 (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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Deadline 26 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Other 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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-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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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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methodologies from field and greenhouse experiments to genetics, genomics, phenomics, gene editing, biochemistry, physiology and modelling. For more information about the department or division visit: https
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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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University develops arts and humanities and invests in future Areas of Excellence. The Department of Historical, Philosophical and Religious Studies invites applications for the doctoral training programme in
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com/ ), in close
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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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experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data analysis within the MAX IV edge-cloud