319 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in Norway
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- University of Oslo
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- CICERO Center for International Climate Research
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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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programmes is a primary focus for the faculty's doctoral programme, PhD in educational sciences (UTVIT) (https://www.inn.no/english/research/doctoral-degree/educational-sciences/). It is a prerequisite that
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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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environment spanning physics, developmental biology, advanced imaging, and machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural
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, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally
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the Research Council of Norway and the Department of Psychology at the University of Oslo (UiO). Learn more about working at PROMENTA here . About the NeuroPathways Convergence Environment and the PhD project
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to apply: https://www.jobbnorge.no/en/available-jobs/job/291009/phd-research-fellow-in-criminology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/291009/phd-research-fellow-in-cr
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integration of welfare technologies in the care systems for elderly people. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292367/phd-research-fellow-in-human-robot
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Science About the project This PhD project integrates pharmacoepidemiology, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies
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the areas of stochastic analysis and computational methods towards machine learning with focus on risk-sensitive decision making and control. Techniques may include forward, backward stochastic differential