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Field
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accurate and efficient numerical approaches for scale-bridging to obtain effective models at the macro-scale. An important part of the latter will be the development of reduced order models, reducing
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the microstructure. The successful doctoral candidate (DC) will develop a microscopic model for heat transport and reactions in redox flow battery electrodes. The DC will use pore-scale direct numerical simulations
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic
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ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
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focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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or numerical/computational studies of the universe during the Reionization era. We seek to hire postdoctoral fellows within the newly established KAW research program of high scientific impact at the astronomy
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collaborate on modelling and numerical optimization in robotics, electromobility, and autonomous driving. The team is international and combines expertise in control, optimization, and statistical inference. A