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- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- University of Agder
- University of Inland Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Stavanger
- Western Norway University of Applied Sciences
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Field
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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
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groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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internationally. The group also seeks to contribute to knowledge production in interdisciplinary democratic theory, innovative methodological and democratic experiments, and to maintain a close collaboration with
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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addressing measurement quality issues related to respondent non-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory
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project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
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offers membership of the Norwegian Public Service Pension Fund More about working at UiA. The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow
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the theories and methods intended to be used. The project proposal plays an important role in evaluating applicants and must demonstrate how the project will lead to the successful completion of a doctoral
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior