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related field. Demonstrated expertise in machine learning, deep learning, or advanced statistical analysis applied to complex, multimodal data. Hands-on experience with high-performance computing (HPC
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. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may
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system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and
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at the time of hire. PhD in computer science, data science, or related discipline Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals
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more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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Machine Learning. We are looking for a motivated candidate, who has interest in both theoretical, methodological and applied research in anomaly detection in sequential data settings, and who is excited
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/english/research/groups/dsb/index.html) as part of Visual Intelligence (http://visual-intelligence.no) , Norway's leading research centre in deep learning for image analysis. Starting date as soon as
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
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working in the period between 1900 and the present. Open to scholars with PhDs in Science and Technology Studies and related fields whose research engages with both the social and epistemic dimensions