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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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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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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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) 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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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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-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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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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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