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of the system is still insufficiently understood. This project investigates the underlying fluid-structure interaction mechanisms and develops advanced numerical methods for high-fidelity simulation
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into solid phases of marine snow. You will test the performance of your model by simulating experimental and field data in collaboration with the PHOSFLUX PhD student. Your qualities We are looking for a
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eigenfunctions. Analysing some features of random cusp forms. Developing probabilistic framework to explain spectral phenomena. Conducting numerical simulations to test and refine these theories. Disseminating
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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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network architectures for AI compute clusters utilising optical switching and numerically assess the performance via software simulation tools. Define the system specifications which will be then translated
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Established Researcher (R3) Positions PhD Positions Application Deadline 8 Oct 2026 - 15:00 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date
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responsible for developing and implementing numerical models, performing computational simulations, and conducting detailed analyses to investigate the behavior and performance of structural materials
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C
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well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will investigate questions concerning
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong