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very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled
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will ensure that all daily activities are conducted in a way which provides a happy, stimulating, and secure learning environment for the children. About You The successful candidates for this role will
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and
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, researchers and practitioners to enable dual learning and original contributions to both research and practice. We wish to appoint a Policy Engagement Manager and the purpose of the role is threefold
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a lead in advising and delivering on space planning initiatives and project development across our student’s teaching and learning spaces and in places of work for our staff. Undertaking spot space
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establish a digital route to quantify the segregation behaviour of residual elements at austenite/austenite grain boundaries through atomic-scale simulations, using modern machine learning techniques and in
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sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
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experience of carrying out grounds maintenance tasks, preferable in a commercial setting • Previous experience of the safe use of common grounds maintenance tools and machines • A willingness to learn and
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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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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together