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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with commonly used programming languages in the field (Python, MATLAB, IDL
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programme. This normally includes: Applicants must hold a Master’s degree or equivalent in Economics, Sociology, Education, Psychology, Special Needs Education, or other relevant fields Master’s degree (120
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advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD students Strong track record relative to the career stage
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within Algorithms and Extremal Combinatorics At the Department of Informatics at the University of Bergen, there is a vacancy for a postdoctoral research fellow position within Algorithms and Extremal
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the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop
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is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting of 75 % PhD Research Fellow and