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and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous PhD project. In addition to electromagnetic geophysics
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electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous
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synergistically integrates different renewable energy sources such as solar photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modeling
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
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of Bergen (Profs. Ritske Huismans and Rob Gawthorpe), University of Manchester (Prof. Cathy Hollis), University of Oslo (Prof. Jan Inge Faleide) and Imperial College (Prof. Chris Jackson). About the project
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should not exceed one page Desired qualifications: Good knowledge in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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Paleozoic in Norway with detailed field studies to fill in gaps in present knowledge. The supervision will mainly be done by Prof. Øyvind Hammer, Prof. Jørn H. Hurum, and Assoc. Prof. Kjetil Lysne Voje
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/background. This statement of research interest should not exceed one page Desired qualifications: Good knowledge in programming language theory, algorithms, distributed systems and logic Experience with
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One or two PhD Research Fellow positions are available at the Department of Mathematics in the research group of Prof. Andreas Carlson at the University of Oslo (UiO). No one can be appointed