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Vacancies PhD position in Optimisation and Optimal Transport Key takeaways We are looking for a talented, research-oriented PhD candidate to join the NWO-VIDI project “SPARGO: Exploring and
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often take place in the high-tech, health, and educational sectors with the intention to understand, evaluate, and optimize (inter)professional and (inter)organizational learning, collaboration, and
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biodegradability. You’ll systematically study the impact of molecular structural parameters on material properties and biodegradability (‘structure-degradation correlation’). You’ll also optimize light source
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both classical digital computers
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of the applied currents, leading to large parameter spaces for applications. To optimize tACS towards a technique of network stimulation in the human brain, we use computational modeling at the population level
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identifies optimal materials and AM processes based on performance, sustainability, and reusability criteria. They will develop and validate this methodology by integrating material databases with digital
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processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and