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of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group
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, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of Excellence (CoE), the former CoE, Physics of Geological Processes (PGP) and
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the complexities of information input (young) citizens expose themselves to. This allows to investigate: how well- or badly-equipped (young) citizens are to wrestle with the excessive amount of stimuli competing
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international collaboration. We value open dialogue, collegial support, and curiosity in addressing complex questions. Our staff and PhD candidates benefit from a strong culture that supports supervision
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between state-related entities, also requires legal certainty. Especially within complex contractual structures, innovative solutions to enhance clarity can contribute to minimize efficiency-losses, avoid
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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, PBAT, PBSAT, PBSA, Bio-PES) which are used for biodegradable fibres, twines, nets and ropes. The research work of the candidate shall contribute to develop new models and knowledge on degradation
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for excellent scientists with background and experience in one or more of the following areas: graph algorithms, parameterized complexity, approximation algorithms, extremal combinatorics, structural graph theory
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
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. The project explores how entangled social, political and environmental processes shape change. We are especially interested in the non-linear processes of change which are not factored into existing models