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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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Vacancies Postdoc Position: Design and Manufacturing of Adaptive Winglets using Shape Memory Alloys Key takeaways Project overview This project aims to revolutionize aircraft winglet design by
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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the north-south climate gradient in Europe, and link your findings of vegetation patterns to potential future shifts driven by climate change. You will design and implement field trials to assess the effects
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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for CO2 emissions set forth, alternative, low-carbon emission approaches to existing manufacturing processes for base chemicals are required. This necessitates re-invention of processes that are in use
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this project we are going to guide several schools in making the transition towards more customized education enabled by efficient and effective logistics processes. We will work with the schools in a design
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the powerful synergy of dzITP with MS, the gold standard for metabolomics, to maximize insight into exosome-derived biomarkers. This project will center on the design and implementation of a novel microfluidic
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-molecule transport and measure the NPC nanoscale structure using TEM, AFM, FRET, DIB, MINFLUX, etc. We study purified yeast NPCs as well as design the amino-acid sequence of the IDPs and TRs de novo from
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at locations along the north-south climate gradient in Europe, and link your findings of vegetation patterns to potential future shifts driven by climate change. You will design and implement field trials