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for computational science. It is an advantage for applicants to have experience with mathematical modeling and numerical methods for thermal compositional multiphase flow, phase separation, and reactive transport in
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present the topic, the research problem(s) and choice of theory and methods. The proposal should also include a progress plan for the different parts of the project. Admittance to the PhD programme will be
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foundation from numerical and functional analysis Build on the literature related to linear operator preconditioning and nonlinear preconditioners for Newton methods Use concrete model problems and numerical
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positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
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opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger project “Bringing the wild into the lab with Virtual Reality
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numerically implements the newly derived theoretical frameworks using fundamental computer programming languages. The numerical solver will leverage existing modules (by then) developed from the ‘OceanCoupling
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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will conduct basic research supporting technology development in partner companies. The work includes combined use of mathematical, numerical, and experimental methods. Qualifications and personal
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. Integrating numerical models tailored to Southern Norway and Greenland with existing datasets to investigate how their landscapes have formed. Presentation of results at international conferences. Publication
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additional collaborators including Prof. Alexander Babanin (University of Melbourne, Australia), will form a team of supervisors for the PhD fellow. The research will involve running customized numerical