212 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at University of Oslo
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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
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severity of cyber threats. Both defenders and attackers are now using Machine Learning (ML) and Artificial Intelligence (AI), therefore research is needed to investigate and design more advanced
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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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UiO/Anders Lien 31st March 2026 Languages English English English Faculty of Educational Sciences, Department of Teacher Eduaction and School Research PhD Research Fellow in Education: Learning
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environment for the training and development of PhD candidates and postdoctoral fellows, including individually tailored career development plans with formal supervision and project-based learning. Secondments
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biology, advanced imaging, and machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among
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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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intelligence/machine learning skills. The candidate’s research proposal must be closely connected to the call and the research of NCEI. Excellent skills in written and oral English. Personal suitability and
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern