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within a Research Infrastructure? No Offer Description PhD position on In-situ characterization and Digital Modeling of Li-Ion Batteries We offer a PhD position on "In-situ characterization and Digital
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lack of rapid tools to understand and monitor the spread of pathogens. Building on our previous work on DNA tracing technologies, we aim to develop tools and procedures to model and monitor the spread
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-low levels of power consumption at temperatures as low as 4 K. The design of these circuits is complicated due to the lack of standard design kits for their simulation at these temperatures. Alternative
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particular: Investigation of reaction mechanismus using density functional theory and statistical thermodynamics Kinetic modeling using mean-field models and transition state theory Conducting MD simulations
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suitable for part-time employment. Starting date: 17.10.2025 Job description: Design, develop and apply an flexible and integrative multiscale FWI using GPU-accelerated spectral-element simulations (Salvus
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on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work in the Statistics section at the Delft Institute of Applied Mathematics (DIAM
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scenarios. Duties Your work will focus on modeling and optimizing hydrogen compression, storage, and fueling processes at the system level. This includes, among other tasks: Thermodynamic simulations of CGH
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offers a non-intrusive, low-cost, and privacy-preserving solution. The research will involve designing and testing experimental setups, collecting vibration data from simulated falls and everyday impacts
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
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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