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tools for static and dynamic analysis are powerful for detecting vulnerabilities, they suffer from both theoretical and practical limitations. Their results are often plagued by false positives (reporting
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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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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-language models, or diffusion models to simulate and design complex urban traffic environments? Do you want to shape the next generation of data-driven mobility intelligence with your creative ideas and
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of an external magnetic field into the phase-field model and to simulate the microstructural evolution for different cooling rates. - Phase-field modeling of the phase transition in the Fe-Ni alloy. The selected
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Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light
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-efficiency converters based on SiC/GaN wide-bandgap devices and resonant topologies to achieve > 98% efficiency. You will design, simulate, and experimentally validate DC-DC and DC-AC converter prototypes
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area of machine learning. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing
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•Nanofabrication and demonstration of optoelectronic devices (e.g., LEDs, infrared cameras, and gas sensors)•Optical and multiphysics simulations (e.g., Lumerical FDTD, COMSOL)We offer a collaborative and supportive
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of quantum dots, 1D/2D materials, and organics•Nanofabrication and demonstration of optoelectronic devices (e.g., LEDs, infrared cameras, and gas sensors)•Optical and multiphysics simulations (e.g., Lumerical