47 finite-element-method PhD positions at Delft University of Technology (TU Delft) in Netherlands
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
for rapid and resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding
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process as a whole. In addition, the anticipated sharp surge in demand for electricity and renewable fuels introduces new uncertainties. Would you like to address this urgent need and develop new methods
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and the use of advanced electrochemical methods and surface analysis techniques. We aim to deepen the fundamental knowledge of electrochemistry and surface science and translate this into practical
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computational methods, this PhD is the perfect opportunity to make a real impact in inclusive musculoskeletal science. TU Delft (Delft University of Technology) Delft University of Technology is built on strong
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the hydrometallurgical recycling of Li-ion batteries. As a PhD researcher, you will: Investigate purification and separation methods to understand mechanisms for impurity removal (e.g., Cu, Al, Fe) and for better recovery
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of the 21st century. To that end, we educate innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and
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, to either the fixed lines or pooled on-demand vehicles. This requires efficient methods for large scale task assignment and routing leveraging combinatorial optimization and machine learning
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metadata for auditability and continuous monitoring. The research is hands-on and evaluative. You will deploy your methods in realistic cyber-range scenarios and sectoral use cases (e.g., transport
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of biomass scale-up. Against this backdrop, this PhD project aims to explore growth conditions that will increase the yield and biomass productivity of open-culture PNSB for nutritional ingredient in food and
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, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil infrastructure and development of new materials and