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structures. This highly interdisciplinary project combines mechanical engineering, materials science, and control systems, and will require both numerical simulation and experimental validation. The outcomes
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knowledge of numerical methods - knowledge of free-surface flows, granular flows - proven experience in numerical simulation (finite elements, finite volumes, CFD, LES, etc.) - proficiency in basic scientific
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mechanical testing (four-point bending, ITT), as well as advanced numerical simulation. The project is carried out in collaboration with Liverpool John Moores University (LJMU) and several industrial partners
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experimental tests Skilled in analyzing, post processing and interpreting test results Experienced in numerical modeling and simulation techniques Has published papers in peer-reviewed journals Experienced in
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experiments and numerical simulations to understand and predict the clogging evolution in a range of geological media by: Quantifying physical and chemical clogging dynamics across a spectrum of rock types
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plumes or surface cracks. Laboratory plume simulations, ice-grain characterisation and volatile diffusion measurements will reveal grain structure, trapping efficiencies and their spectral fingerprints
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning
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. Experience with numerical simulations (e.g., Finite Element, Finite volume, and other techniques) and programming (e.g., Python and MATLAB) is deemed advantageous. English language skills, both written and
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technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous high-tech start-ups). In order to support the research, IDLab created
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation # Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image