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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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available from BI's PhD Administration (phd@bi.no) and the PhD specialisation in Communication: https://www.bi.no/en/programmes-and-individual-courses/phd/communication/. How to apply Candidates are asked
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requirements is available from BI's PhD Administration (phd@bi.no) and the PhD specialisation in Communication: https://www.bi.no/en/programmes-and-individual-courses/phd/communication/. How to apply Candidates
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programme and admission requirements is available from BI's PhD Administration (phd@bi.no) and the PhD specialisation in Communication: https://www.bi.no/en/programmes-and-individual-courses/phd/communication
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning and neural networks Basic
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University of Science and Technology (NTNU) has a vacant position as PhD candidate in the field of machine learning for materials science. Your immediate leader will be the Head of Department. About the