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Experience with federated learning, trustworthy AI, privacy-preserving analytics Experience with cloud platforms or HPC environments Knowledge of regulatory and ethical considerations in AI
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supports projects spanning AI, environmental science, HPC, and data management, helping stakeholders turn ideas into impactful results. The QA Analyst will play a key role in ensuring the reliability
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sensing. Familiarity with High-Performance Computing (HPC) and/or Cloud computing (openEO) Why Join Us? Work on high-stakes climate research projects with global impact. Access to state-of-the-art EO data
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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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information about the department/division: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu
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High-Performance Computing (HPC) system. - Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials to communicate research findings
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working language Training at a strong medical research university (MUI) with access to HPC, expert bioinformatics mentorship, and close experimental collaborations A project with clear scientific novelty
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faculty with extensive awards and projects on both national and international levels. Our faculty is a national leader in AI research and is equally strong in high-performance computing (HPC), security, and
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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https