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. This project aims to develop novel polymer-based nanoparticles for the non-viral delivery of mRNA vaccines directly to mucosal tissues, such as the respiratory tract. By leveraging high-throughput automated
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Delft about the new insights we gather. We will focus on open science, sharing our results to help developers across the world. Automated Code Refactoring The focus is on exploring and evaluating
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generation sequencing Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners
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machine learning potentials to rapidly generate new condensed phase training data, ii) develop automated workflows to train molecular mechanics force fields against these accurate data sources, and iii
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—an essential technology to meet the ultra-fast, deterministic needs of future applications like autonomous driving, smart cities, and industrial automation. About the TeraWireless Project The TeraWireless
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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to the body of knowledge by enhancing the safety, relia- bility, and efficiency of automated vehicles by developing a collaborative multimodal perception system. This system leverages data from multiple sources
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(including microscopy techniques) and automated approaches. b) Investigate the behavioral and stress response in fish exposed to fishing stress vs. non-fishing stress during spawning. c) Elucidate how fishing
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buildings, smart street lighting, smart factories, healthcare, and robotics. The emerging radar sensors in use by the group employ multiple-input multiple-output (MIMO) technology and can be connected
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physical interaction necessitate the use of multiple robots to mitigate this issue [1]. Finally, despite the great recent progress in automation, computer science, and machine learning, robots still have