673 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions in Sweden
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Field
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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
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Deadline 30 Oct 2025 - 12:00 (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 Is the Job related to staff
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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Established Researcher (R3) Country Sweden Application Deadline 10 Oct 2025 - 21:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral scholarship
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20 Sep 2025 Job Information Organisation/Company Linköpings universitet Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 17 Oct 2025
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advanced data-driven methods. This is a unique opportunity to contribute to pioneering research that tackles one of today’s most pressing challenges: how to design resilient, secure, and reliable network
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the laboratory and department. This position offers the opportunity to be deeply involved in world-class research and to play a central role in advancing our experimental methods and laboratory capabilities