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on the numerical modeling results. Physical Oceanography, 27(4), 352–363. https://doi.org/10.22449/1573-160X-2020-4-352-363 Sokolov, A., Chubarenko, B., 2024. Baltic Sea wave climate in 1979–2018: Numerical
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run
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will be processed by advanced Artificial Intelligence algorithms. The numerous tasks for this grant will contribute to the project's activities. Namely: Installation of sensors on telecommunications
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offer a complementary and more responsive alternative, though their application to tunnel–soil systems remains under-explored. Coupled numerical models of the tunnel and surrounding soil will be developed
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and interaction between devices have a significant impact. In this project you will work on and develop numerical modelling capabilities for arrays of turbines with non-homogeneous flows and wake
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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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activities regarding numerical modeling of tsunamis, both inundation, with a view to updating the national hazard model, and offshore propagation, with a view to using the new pressure sensors installed in
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Microscopy Center. The project further benefits from excellent dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. This is a full-time, two-year