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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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opportunities of exceptional postdoctoral researchers from around the world. Selected candidates will have the opportunity to develop their research ideas in one of four areas of quantum science: Quantum Theory
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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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, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver for mineralization in porous media, a key knowledge gap for a wide range of
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in teams Good skills to deliver oral and written presentation of research results Strong interest in combining theory and practice through experimental and numerical research Emphasis will be placed
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Organization U.S. Department of the Interior (DOI) Reference Code DOI-USGS-2025-09 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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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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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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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
, e.g. self-supervised learning, convolutional neural networks, transformer-based networks, eigenvalue/eigenvector-based methods, graph-based approaches, Bayesian learning, information theory, geometric
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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