346 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs in Norway
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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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25th March 2026 Languages English Norsk Bokmål English English Postdoctoral Fellow in educational science with a focus on learning and instruction Apply for this job See advertisement Job
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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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Sciences, Department of Teacher Eduaction and School Research PhD Research Fellow in Education: Learning, Reading, and Assessment in the Context of Generative AI Apply for this job See advertisement Job
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publications and to contribute to a rapidly evolving field. For more information and how to apply: Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295728/postdoctoral-research-fel
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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
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PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI
Sciences, Department of Teacher Eduaction and School Research PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI Apply for this job See advertisement Job
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide