283 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Oslo in Norway
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out administrative duties in accordance with the needs of the department. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289619/tenure-track-assistant-professor
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assessment at all levels (BA, MA and PhD), and to carry out administrative duties in accordance with the needs of the department. For more information and how to apply: https://www.jobbnorge.no/en/available
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levels (BA, MA and PhD), and to carry out administrative duties in accordance with the needs of the department. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/290233
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out administrative duties in accordance with the needs of the department. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/290244/tenure-track-asst-professor-assoc
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. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
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-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english/people/aca/mariafy/ Jarli og Jordan/UiO via Unsplash Jarli og Jordan/UiO What skills
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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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hypotheses related to metabolic rate increases, energy allocation shifts, temperature-dependent bioaccumulation, and varying toxicity across biological levels. For more information and how to apply: https
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, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as