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Optimization: Mathematical Phylogenetics During this project, you will work on fundamental graph-theoretic and algorithmic problems in mathematical phylogenetics. Job description The Discrete Mathematics and
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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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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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Recycling (MPRR) group in the Department of Materials Science and Engineering (MSE) at TU Delft and contribute to advancing battery circularity by optimizing the recovery of critical raw materials in
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optimizing the recovery of critical raw materials in the hydrometallurgical recycling of Li-ion batteries. As a PhD researcher, you will: Investigate purification and separation methods to understand
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), , Logistics Overijssel and Logistics Navigators. The academic supervision team includes Dr. Engin Topan and Dr. Rob Benthuis. MULTIPLIER integrates operational data, optimization, and hybrid AI into a decision
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capabilities, existing technology can only handle relatively small-scale problems. Information In the SymBi project (Exploiting Symmetries for Faster Bilevel Optimization Algorithms), we address this limitation
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streams, and PHA-X, a composite obtained from PHA-rich biomass. You will further develop, test and optimize the PHA-X material, you will, in close collaboration with two industrial partners, contribute
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demand for heat and heat generation from sustainable sources. Optimizing sustainable heat requires storing large amounts of heat to account for seasonal supply and demand fluctuations. Various technologies
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interdisciplinary meetings and workshops to foster knowledge exchange and innovation. Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare