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method development for discovery of rare cell states and their tumor microenvironment in relation to patient outcome. Your physical working location will be at the Department of Medical Genetics, Section
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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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exchange, and by shorter and longer research stays at partner institutions. The Researcher will work with other researchers to apply computational methods to study C-H bond activation reactions catalysed by
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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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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting
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and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity on salt flow and the internal architecture of deformed salt bodies