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. This project aims to establish the safety limits for in vivo use, develop the optimal operational conditions for the proposed device and create software for device operation, data collection, analysis and
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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genome synthesis. Microbial Genome Synthesis and Design. Gb-scale Genome Synthesis for plants, human cells and animals. Combinatorial synthetic genomics. DNA delivery. Predictive models of DNA sequence
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assessment, and forecasting its future states. Together, these technologies can significantly enhance safety, reliability, and design optimization to make hydrogen-powered aviation both viable and certifiable
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with Clients from the biggest retail, hospitality, commercial and leisure sectors in the UK, you will be joining a company that offers 24/7 service, enhancing environments and providing optimal
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to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support disassembly tasks in the energy sector (wind turbines). You will also
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and