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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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Microsoft Software (e.g. Word, PowerPoint), a virtual learning environment (e.g. Moodle, Blackboard) and video conferencing software – we use Microsoft Teams. You must be fluent in English, both written and
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strong professional values and a commitment to lifelong learning. Teaching is grounded in sound theoretical knowledge and focused on the development of practical and clinical skills. We benefit from a
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to adapt to meet the experimental demands of dynamic research environment by quickly learning new skills as required whilst maintaining a high level of attention to detail. Experience of creating
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Referral’ when answering the question ‘Where did you learn of this job?' and email campusserviceshr@bath.ac.uk the name of the person who referred you. Both bonuses are subject to terms and conditions. We
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University’s mission to deliver an inclusive, safe, innovative, and digitally enabled learning environment. The Directorate is responsible for shaping, managing, and transforming UEL’s physical estate as an
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colleagues to network and collaborate, offering opportunities to learn and develop, contributing to the delivery of the University’s objectives, and helping everyone to understand the broader context within
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, machine learning, or data assimilation, with an interest in large language models and emerging AI methods The ability to work independently and collaboratively within an interdisciplinary and international
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of the University’s mission to deliver an inclusive, safe, innovative, and digitally enabled learning environment. The Directorate is responsible for shaping, managing, and transforming UEL’s physical
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tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle