334 machine-learning-"https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Norway
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- University of Oslo
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- University of Inland Norway
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, and sociocultural and geographical context. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298148/phd-research-fellowship-in-pharmacoepidemiology Where to apply
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on justice in the Nordic countries, which involves conducting extensive surveys and focus groups. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295684/postdoctoral
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. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/297591/postdoctoral-fellowship-in-mental-health-research Where to apply Website https://www.jobbnorge.no/en/available
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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
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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processes based on mobile digital technologies increase, so do the amount and severity of cyber threats. Both defenders and attackers are now using Machine Learning (ML) and Artificial Intelligence (AI
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across the University of Oslo, industry partners and University College London (UCL). The successful candidate will work with and further develop the electricity system model highRES to analyse the role
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, you will conduct cutting-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2