641 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions in Norway
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. The overall goal is to contribute to improved security, resilience, and situational awareness in critical infrastructure systems. For more information and how to apply: https://www.jobbnorge.no/en/available
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rotation, and leading the asteroseismic analysis of these stars, which encompasses data analysis, stellar modelling, and inversion techniques. For more information and how to apply: https://www.jobbnorge.no
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to apply: https://www.jobbnorge.no/en/available-jobs/job/294610/phd-research-fellows-in-geosciences-planetary-or-exoplanetary-sciences-up-to-three-positions Where to apply Website https://www.jobbnorge.no/en
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and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294723/phd-research-fellow-in-biochemistry-and-structural-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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allocations, and this doctoral fellowship is expected to have a strong experimental component. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in
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profile for their ideal candidates are described as follows. PREMAL is a project focused on privacy-preserving machine learning using FHE. The project will investigate trade-offs between accuracy, time, and
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Desirable experience (in ranked order): • Research in
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95 94 31 Deadline for applications is 5 May 2026. This date also applies to the submission of publications/written work. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298248
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positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
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computational modeling to identify bacterial strains and metabolites that promote or hinder probiotic establishment. By combining multi-omics data with systems biology and machine learning approaches