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Statistics is opening a PhD position in mathematics focusing on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and
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solid knowledge of and show interest in mathematical analysis, partial differential equations and related subjects and is expected to have completed related courses. Documented knowledge in kinetic theory
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: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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Gerken (Department of Mathematical Sciences) Project description In many deep learning applications ranging from medical image analysis to quantum chemistry, the symmetries of the underlying problem pose
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the Radiological Image Analysis research group, we specialize in advanced image analysis methods for research applications related to metabolic and cardiovascular disease as well as cancer. The group members have
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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collectively manage all aspects of safety work with ionising radiation at the MAX IV Laboratory. One of the current team members focuses on radiation safety simulations for shielding design and risk analysis
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics