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Field
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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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Excited to shape the future of hearing aids? Ready to combine your expertise in Signal Processing, Optimization and Machine learning with Perception and Intelligibility? Job description Good hearing
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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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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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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness
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PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications (quantity is less important
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profile: The ideal candidate will have: A PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications
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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
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(DSO) to resolve local congestion issues. The design of such an edge decision-making platform requires an understanding of distribution systems operation as well as machine learning and optimization
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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