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immune monitoring panels measured in large patient cohorts, we want to make an inventory of current panels and results, and develop the most optimal panels for each of the different research questions
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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 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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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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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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) 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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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
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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 with PhD students