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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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that exploit Deep Learning structure prediction methods for the benefit of structural biologists. The work, in collaboration with CCP4 partners and building on preliminary data, will develop software to validate
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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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preclinical models. You will play a critical part in this larger research programme by supporting ongoing experiments and conducting your own experiments. You will learn new skills and research techniques from
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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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high-impact learning opportunities for postgraduate researchers and those that support them, utilising your insights and creativity to continuously improve our offer. You will demonstrate original
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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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collaboration and with the freedom to effect change, you¿ll design high-impact learning opportunities for PGRs and those that support them, using your significant expertise and track-record of delivering sector