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Field
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receive a 3-month training programme in fusion engineering at the start of the course, delivered across the CDT partner universities. For further information about the CDT, please visit the website or send
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current best-in-class benchmarks. Beyond the automotive sector, the project might also contribute to our understanding of how other spaces can be designed to support the required user experiences
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capital cost and maintenance costs of offshore wind energy. Development of the concept has been funded by the EU H2020 programme www.xrotor-project.eu , EPSRC, the Royal Academy of Engineering and
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of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs for quantum science, and of the Austrian Cluster of Excellence quantA, which supports
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of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs for quantum science, and of the Austrian Cluster of Excellence quantA, which supports
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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine
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the coordination guarantees. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Candidate
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
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to apply: Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select ICASE Trustworthy AI For Industrial Applications on the Programme Choice page. You will be prompted to enter
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Department/Location: Department of Engineering, Central Cambridge We are seeking a highly motivated Research Assistant/Associate to join EPSRC and industry funded Digital Roads (DR) Prosperity