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to an ongoing project on the design and manufacturing of adaptive winglets using Shape Memory Alloys (SMAs) for aerospace applications. These smart winglets are designed to optimize aerodynamic performance by
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for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs
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and computational tools needed to optimize the design and deployment of large-scale floating solar farms, ensuring their economic viability and environmental sustainability. In this postdoctoral
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fibrosis. Together with the department of surgery, focusing on vascular surgery, we aim to to ulitse high-throughput biomaterial screening to identify the optimal physicochemical surface properties
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and evaluation of resilient wireless systems utilizing techniques such as multi-connectivity (Terrestrial and NTN), spectrum sensing, optimization theory, AI/ML, etc. Participate in collaborative
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) design, based on diffusion and/or flow matching, that can rapidly adapt pre-trained models to new tasks and select optimally informative simulations at each stage in a design process. Collaborate closely
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Materials Production, Refining and 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
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circularity by optimizing the recovery of critical raw materials in the hydrometallurgical recycling of Li-ion batteries. In this reserach, you will: Investigate purification and separation methods
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, where cutting-edge research is conducted to optimize resource efficiency and reduce environmental impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms
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the research area of finite geometry. Job description The Discrete Mathematics and Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time 2 year Postdoc position