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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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-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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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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perform screenings methods to identify molecules involved in the astrocyte-synapse interactions. Experiments will involve the isolation of cells and subcellular fractions from mouse brain as well as the use
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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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arms performing delicate physical interaction tasks. Your project is partially funded by a Knowledge and Innovation Covenant (KIC) grant from the Dutch Research Council (NWO) entitled “STEADFAST – Swarm
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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