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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
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You You are highly motivated, with a relevant undergraduate degree, or equivalent experience, in a relevant discipline. You have formal or equivalent experience in programme or project management, with
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sponsors to deliver the outputs and will have access to a bespoke training programme. Per- and polyfluoroalkyl substances (PFAS), also known as “Forever Chemicals”, are micropollutants of increasing concern
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to differing needs and deadlines. Relevant experience of finance systems and working with budgets. Demonstrable evidence of computing skills including Microsoft Office (especially Word, Excel, PowerPoint
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process is a critical bottleneck, leading to inconsistent quality, costly rework, and the risk of shipping flawed products. This project seeks to move beyond these limitations by developing cutting-edge AI
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actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. At the Department of Applied Physics, our
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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Ability to follow instructions (evidenced by application) How to apply This is a multi-disciplinary program hence good candidates from chemistry, physics, environmental sciences or chemical engineering (or
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Deadline: Applications accepted all year round Details About the Project The additive manufacturing process Laser Powder Bed Fusion (LPBF) has matured into a mainstream technology for the production of high
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to redeployment, please note that this vacancy may be withdrawn at any stage of the recruitment process if a suitable redeployee is identified. For informal enquiries about this vacancy, you may wish to contact