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computational methods can direct synthetic strategies, identify new candidate materials, and rationalise observations, ultimately contributing to improved material performance. A PhD in Chemistry, Materials
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relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in computer-vision is essential, chemistry, materials science or data science background would be
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website to verify the effectiveness of the framework. You will have a PhD in a relevant computer science and engineering discipline (e.g., Computer Vision, Artificial Intelligence, etc.). This post is
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying computational chemistry tools to materials science. This
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skills, and a PhD in Engineering, Mathematics, or Computer Science are sought. The main aim of the work is to demonstrate the use of Uncertainty Quantification in developing and using non-deterministic
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science. This position forms part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of
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of experts, including specialists in computer science, data science, engineering, visualisation and manufacturing technologies, and is underpinned by the University of Liverpool and specialist centres
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activities include an AI entrepreneurship programme, Roundtable discussion of AI in the health sector and an early-stage AI technology Accelerator. You will be part of a growing Enterprise Team who
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A Horizon Europe funded Postdoctoral Research Associate (PDRA) position is available at the Department of Cardiovascular and Metabolic Medicine and the Liverpool Centre for Cardiovascular Science
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The School of Medicine seeks a specialist Administrator for its Technology Enhanced Learning (TEL) team. As a TEL Administrator, you'll be pivotal in utilizing technology for effective teaching in