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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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contributes to improving large-scale plasma simulations that are essential for the design and optimization of nuclear fusion devices, a key step toward future sustainable energy technologies. You will conduct
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generative design approach needs to be developed to rapidly design globally optimal (e.g., cost, feasibility, contribution to energy efficiency, resource availability, and potential for mass execution
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that balance energy supply and demand, improve electricity grid flexibility, and optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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Vacancies PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY Key takeaways Nanometer-thin films are enabling factors in many advanced technology fields such as
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need to deal with this increased visibility by reducing their footprint. Reducing the footprint means that supply networks need to be heterogeneous in their transport means, consider alternative energy
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the North Sea. The spatial planning and use of the North Sea over the next 30 years will be fundamentally shaped by a shift away from fossil (oil and gas) to renewable (primarily wind) energy. The Dutch
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic