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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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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using
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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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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
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STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be responsible for the daily operation of the lab. Together with the dedicated technical staff, you will ensure
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-optimization… Requirements Specific Requirements PhD in Electrical Engineering, Applied Physics, Operations Research, Computer Science, or a related discipline, with a focus on quantum algorithms. Knowledge
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Advancing hydrogen aviation: optimize compressor design of the air supply system to boost fuel cell poweetrain efficiency and reliability. Job description To reduce greenhouse gas emissions in
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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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the environment, such as nuclear spins as well as 4f-shell electron spins. Our research group operates two state-of-the-art cryogenic STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be
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applications. As a Postdoc candidate at TU Delft, working in close collaboration with a PhD student and our industrial partner Delmic and academic partner AMOLF, you will develop a proof-of-concept prototype