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and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
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-core and surface magnetic fields, integrating findings into a broader understanding of stellar structures. Analyze how magnetic fields affect pulsation frequencies Publish findings in scientific journals
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affiliated with the Department of Health Science and Technology at the Faculty of Medicine, which conducts multidisciplinary research and teaching in health science and technology (e.g. medicine and biomedical
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, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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processes, their regulation and their significance for cell function, interaction and organisation in tissues. The Department offers comprehensive undergraduate and graduate teaching programs spanning cell
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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level
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simulations using, e.g., COMSOL, Lumerical, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research
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methods such as gas chromatography, Karl-Fischer (for water), titration methods for TAN/CAN, elemental analysis etc. Synthesis and characterization of catalysts. Writing of scientific papers and attending
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code