19 modelling-and-simulation-of-combustion-postdoc PhD positions at Delft University of Technology (TU Delft) in Netherlands
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opportunities for experimental research on spin qubits and quantum simulation using gate-defined silicon or germanium quantum dot arrays. Topics of interest in the domain of spin qubits include the scaling
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understand their surroundings even in harsh weather conditions. However, current radar systems face limitations in resolution due to cost and power constraints. This PhD project explores generative models as a
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simulation models to guide decision-making for storage safety and performance optimization (in cooperation with other project team members). To achieve the objectives stated above we foresee the following
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faces is with scalability & consistency. This project aims to develop a process model. Job description In this position the candidate will work closely with the industrial partner. The objective is to
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Job related to staff position within a Research Infrastructure? No Offer Description Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and
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degree in Chemical Engineering Prior expertise in process sytems engineering (e.g. process design and simulation) Prior knowledge of chemical process modeling Ability to work in a team and mentor other
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similar discipline by the start date of the position. Experience with (bio)mechanical modeling and computer simulation. Proficiency with at least one programming language (e.g., C++, Python, Matlab, etc
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PhD Integrated Control & Protection of AC-DC Grids for Secure Operation of Arbitrary Grid Topologies
part of the Electrical Engineering, Mathematics, and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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to create crash test simulators for autonomous vehicles that can simulate actions in closed-loop by synthesizing novel viewpoints of the ego vehicle. Building on these breakthroughs, this PhD project at TU
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supporting data-driven methods and AI models in plant science. The project is part of the CropXR program, a highly collaborative 10-year national initiative of universities and industry, with a mission to grow