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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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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
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contribute to teaching in the Department of Computer Science at undergraduate and postgraduate levels. One appointment is at the Lecturer level (Grade 8), and the second appointment is at the Senior Lecturer