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will be modelled by analytical and numerical approaches. Existing analytical approaches will be used as a tool to describe the behaviour of fire exposed TRC in tension, while numerical simulations will
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postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is to develop novel numerical methods that allow us to overcome the curse
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analyses), unit operations (comminution and separation processes) as well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work is carried out in our well-equipped
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(comminution and separation processes) as well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work is carried out in our well-equipped mineral processing laboratory with
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develop the data pre-processing and data-interpretation techniques. This will require the use of wave physics, numerical simulations, experimental laboratory work, and clever reviewing and interpretation
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into refining computational strategies for large-scale molecular simulations in materials science and computational physics. The project will involve substantial numerical development, including algorithm design
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, and ICCV2025. His work has been published numerous times in top computer vision conferences and journals such as CVPR (x13), ECCV (x6), ICCV (x3), IJCV (x3) and PAMI (x1). His work received a best paper
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directions to meet deadlines and top priorities Preferred Qualifications Hands-on experience with numerical methods and/or writing CFD simulation codes Experience designing physical experiments to validate
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taxonomy of future launchers, and creation of a structured database Modelling and simulation of the most promising rocket engine architectures from a thermodynamic standpoint Numerical and experimental
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Polish or English, in particular in algorithmics, artificial intelligence, programming or numerical methods; Communicative command of Polish. Availability. Obtaining a grant, scientific or educational