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machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying Artificial Intelligence and Machine Learning tools to materials
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. biodegradability) of materials developed by researchers at University of Oxford. We seek a Postdoctoral Researcher to lead the development of automated (machine-learning assisted) methods for reaction monitoring and
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We are seeking an individual working to examine, extend and enhance the state-of-the-art in scalable Artificial Intelligence, Machine Learning and Data Science. We actively encourage individuals who
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diagnostic tools to support the managements of patients with stroke. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of AI, machine learning
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will also involve developing an operational machine learning pipeline that processes raw census inputs through to cluster creation. Utilising a large language model, and building on existing work
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. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your
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closely with renowned researchers and esteemed industrial and governmental partners. Your expertise in machine learning, statistical analysis and programming will drive impactful research aimed at solving
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and esteemed industrial and governmental partners. Your expertise in machine learning, statistical analysis and programming will drive impactful research aimed at solving real-world challenges. Why join
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closely with existing academic and research staff in the Accelerator Science cluster and more broadly within the Department on the use of AI and machine-learning techniques for the design and optimization