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Field
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studied based on simulations and boundary conditions from the measured data. The production environment and variabilities of production conditions shall be considered. After having established a fundamental
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the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
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the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research Foundation (DFG), at the University
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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climate scenarios. Using hydrologic and hydraulic simulations to generate training data and assess stormwater system performance under future climate conditions. Designing and applying multi-objective
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will
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. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
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3rd August 2025 Languages English English English The Department of Chemical Engineering has a vacancy for a PhD Candidate in process modelling, simulation and feasibility studies Apply for this job