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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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of the appointment, providing the first empirical demonstration of the WaveGuard system. In addition to experimental work, the postdoc will contribute to the numerical design and optimization of the metamaterial
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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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, this postdoc position will look at indoor environmental aspects and try to optimize that environment to improve the sleep quality of people with dementia, and with that reduce the burden on the informal care
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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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research on topics including, but not limited to: Continual learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models
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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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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