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in a relevant technical or scientific discipline, ideally have a relevant higher degree and be able to demonstrate a keen interest in innovation. Individuals will need to be self-starters with
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managerial support at a senior level. We look forward to hearing from candidates who are excited about digitisation, innovation and change and who want to join a dynamic and fast-paced team working in a
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neural network methods for PDEs and their application to engineering problems. For more information on the IN-DEEP Doctoral Network, please visit https://www.in-deep.science Scientific Tasks: Design a deep
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View All Vacancies Engineering Location: UK Other Closing Date: Saturday 31 August 2024 Reference: ENG180 The Biochar Demonstrator is part of the UK Research and Innovation £31.5M programme in
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View All Vacancies Engineering Location: UK Other Closing Date: Monday 30 September 2024 Reference: ENG181 The Biochar Demonstrator is part of the UK Research and Innovation £31.5M programme in
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, Faculty of Engineering) Aim: To develop a mathematical modelling framework to assess and optimise offshore wind-hydrogen system (OWHS) designs, operation regimes, operation & maintenance strategies, and end
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. Collaborating with academic plan leads. Preparing and undertaking teaching activities, including assessment and tutorial support. Developing the curriculum. Integrating research related to rehabilitation and
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initiatives in close collaboration with them. Applications are invited from candidates who have experience designing, developing and managing professional development activities, extensive experience
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trials testing interventions designed to help pregnant women stop smoking, and will work closely with our group’s Trial Managers, Trial Coordinators and Administrators. A key part of your work will be
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an Associate Professor in Entrepreneurship and Innovation (Teaching and Learning focus) in Nottingham University Business School China. Your Key Responsibilities To deliver consistently excellent teaching across