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Field
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-assurance positioning in safety-critical applications. Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology, management, defence
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technology, management, defence and security. Cranfield is recognised for delivering outstanding research addressing contemporary global challenges with economic, environmental, and social impact for business
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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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, which is not possible with current systems. It aligns with key STEM themes and EPSRC’s strategic focus on ‘Engineering’, ‘Health and Medical Technologies’, and ‘AI, Digital, and Smart Applications
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will have a social science or business background and should have attained (or expect to attain by the end of the 2024-25 academic year) a Merit or Distinction Master’s degree in marketing, sociology
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37 Faculty of Business, Economics and Statistics Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.10.2029 Reference
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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should be made online via the above ‘Apply’ button. Under programme name, select School of Sport Exercise and Health Sciences. Please quote the advertised reference number: SSEHS/SRLJ25 in your application
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honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing
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future hydrogen fuel cell powered aircraft. Join our diverse and inclusive team to transform the future of aviation as part of the Centre for Propulsion and Thermal Power Engineering. Offering fully funded