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development within the proposed project . Teaching duties up to 20% is included and this includes supervision of advanced-level students. Requirements PhD degree in Computational Science, Numerical Mathematics
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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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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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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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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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and feedback; 4- numerical techniques for modeling galaxy evolution, machine learning and AI techniques . The research team is part of the growing and vibrant research environment encompassing
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extensive interests in population genetics and human evolution, providing numerous opportunities for collaboration with postdocs and PhD students working on related projects. The program is also part of
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you will do The selected candidate’s main responsibility will be to perform analytical and numerical calculations of dark matter– and neutrino-induced electronic transition rates in a wide range of
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and political documents as well as to numerical data such as technology deployment. The position is meritorious for future roles in academia, industry, or the public sector. Contract terms The position
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, vortex matter, matter at ultra-high pressure, diagrammatic Monte-Carlo. We are interested in analytical and numerical approaches to fermionic and bosonic states. Examples of one of the directions in our