635 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions in Sweden
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continuously, and that the position can be filled prior to the deadline. Contact information For questions, please contact Prof. Ludvig Edman (email: ludvig.edman@umu.se ) or Dr. Christian Larsen (email
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, and Umeå University. HPC2N is operating high-performance parallel computer systems and networks, large-scale disk and tape storage systems. All levels of user support are offered, to make sure
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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Researcher (R2) Country Sweden Application Deadline 10 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Department of Computing Science The Department of Computing Science, characterized by world-leading research in
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communication with the Swedish marine industry will take place on a regular basis. Main responsibilities As a full-time doctoral student, you will be expected to independently develop numerical methods and codes
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-October 2025. During the pre-selection, interviews may also be held on-line. Information For more information about the programme and the doctoral studentship, contact prof. Martin Ebers, martin.ebers
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Deadline 11 Jan 2026 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13769
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) Country Sweden Application Deadline 5 Oct 2025 - 21:59 (UTC) 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
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parallel computing systems. Familiarity with git and GitHub. Experience building pipelines for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent