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Sheffield to work on the remainder of a 36-month grant funded program. The project will provide a fantastic opportunity to develop and apply innovative industrial digitalisation or subtractive manufacturing
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of medical devices and validation of their physical design and control policies to bring optimised solutions in a sustainable and robust manner. The synergy between ML models from relevant data and physics
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you’ll gain are second to none. Tailored Training: Benefit from both group-based and personalised training activities. We’ll help you craft an individual training plan that aligns with your career goals
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. Contribute to carbon efficiencies within the department. Unload stores and dispose of waste products Provide assistance and information to users as appropriate to the grade, referring users to experienced
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engineering. The tools and knowledge you’ll gain are second to none. Tailored Training: Benefit from both group-based and personalised training activities. We’ll help you craft an individual training plan
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delivery team and will be responsible for the workshop-based training delivery of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will be required to deliver teaching, learning and
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waste that will help to protect the wellbeing of society and the environment, and enable clean nuclear energy production. Based in the School of Chemical, Materials, and Biological Engineering, the
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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help you to develop a combination of research skills for analysis and prediction of failure on modern composite aircraft. This research will benefit from excellent computing facilities, expertise in