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benches, OBC emulators, simulators and ground support equipment. Proven experience in functional verification and validation activities, for example the specification and development of test means and
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and geometric deep learning, or simulation-based inference. We welcome your unique perspective and are eager to learn how your track record, educational vision, and future research goals align with
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. Your PhD research will extend beyond this project. The research could include signal gathering and processing, simulations, and experiments with software-defined radios. Job requirements Required: MSc
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balance of individual plasma species. You will implement new modelling approaches in state-of-the-art plasma simulation platforms, such as nonPDPSIM and HPEM , in the context of plasma etching and EUV
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and develop innovative PLL architectures and their key building blocks. Your work will include system-level modeling, architectural exploration, transistor-level circuit design, and detailed simulation
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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application. A copy of your MSc graduation thesis or internship report. Ensure that you submit all the requested application documents. We give priority to complete applications. We look forward to receiving
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the gap from pore scale physics to engineering-scale simulation tools. Sounds interesting? Then this position might just be the one for you! Information Porous media play a central role in many technologies
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for Manure Policy Effects (LMM), which uses a large panel dataset of agricultural holdings. These data are used for data analysis, econometric analyses, and model‑based simulations and optimisation at the farm
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general method to quantify the genetic variance in populations under selection. After validation in simulations, the method will be applied in a commercial pig and chicken population under strong selection