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a new approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation
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approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation and monitoring
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stability in thin-film equations, which includes mathematical modelling, well-posedness analysis, analytical bifurcation, and spectral theory. The study of related subjects and the development of new tools
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or prevent neurodegenerative diseases. The lab uses animal models of disease and in vivo imaging to study the glymphatic system in health and disease. The research is highly translational and uses models
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project “COPD-HIT”, an international multicenter project aimed at developing and validating an in vitro loading model against in vivo blood and muscle adaptations (biopsies) from individuals with Chronic
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measurements, with advanced modeling techniques developed by our team to investigate the key density statistics across the scales relevant for star formation. These statistics provide unique constraints
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that shape our understanding of the world, from abstract structures to concrete models of reality. Mathematics and statistics are essential across natural sciences, technology, social sciences, economics, and
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the interface of biology and medicine, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, as well as theory and modelling. The division of Energy and
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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physicist in the area of plasma physics and numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group