212 machine-learning "https:" "https:" "https:" "UCL" Fellowship research jobs at University of Oslo
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Research PhD Research Fellow in Education: Learning, Reading, and Assessment in the Context of Generative AI Apply for this job See advertisement Job description Applicants are invited to apply for a 3-year
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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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, neuroscience, and clinical medicine. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298968/postdoctoral-research-fellow-in-womens-health-clinical-medicine Where to apply
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researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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of the researchers of the DKM group are also affiliated with the Norwegian Centre for Knowledge-driven Machine Learning (Integreat) . The candidate is expected to join Integreat and strengthen the interdisciplinary
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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more
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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