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, thermal, and flow management to longer-term production scheduling and energy-system operation — connecting fast system dynamics with slower operational decisions. Develop optimization strategies to improve
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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NAS that considers accuracy, latency, energy, and carbon at the same time. Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants
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processes, and product development, NIVI aims to streamline the journey from research to real-world vaccines. Our group and research Our group is part of the NIVI-R interdisciplinary research consortium. We