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Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department of Informatics. Starting date no later than December 1, 2025. The fellowship period is
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science or informatics for this position, such as programming language theory, formal methods or semantic technology A solid documented background in theoretical computer science is required Foreign completed degree (M.Sc
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, and typically has about 10 PhD students. The group's primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on
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communication skills in English (see below) Additional desired qualifications: Experience with the theoretical description of transport processes Skills in advanced computational methods (e.g., C++) Jarli og
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multiwavelet methods in our code (MRChem), and in particular in connection with recent developments for real-time simulations and correlated methods. This development will then be connected to the computation
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numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least one of the following areas is required: Numerical methods for large-scale
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is contingent upon the degree being awarded. Solid experience with numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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mathematical thinking, and their role in the development of numerical competence. The postdoc will investigate the role of cognitive heuristics and visual memory in numerical judgments, with a focus on
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and Norwegian dialects. AcqVa-Nor and C-LaBL consist of about 40 active researchers. C-LaBL has two labs, the AcqVA lab and the PoLaR lab, both using modern tools for various methods used within