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Field
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strong understanding of AI and offensive security. The successful candidate will have to have some experience of working with AI . Candidates must work well with others and represent the university when
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, transcribing, and analysing the results of semi-structured research interviews. Ability to work independently and in a small team. About the University Our University is a supportive, inclusive, caring and
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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
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Manufacturing process for Cold Spray with Artificial Intelligence, operate the AM machine, characterise the materials with scanning electron microscopy and transmission electron microscopy with tensile testing
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and work in the UK. Further information Apply online
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•Background with relevant packages, (CREO/SOLIDWORKS, ANSYS/ABAQUS, MATLAB) •A driven, professional and self-dependent work attitude is essential •Experience of working within the industry will be an advantage
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all doctoral candidates to thrive and achieve their full potential. At Cranfield, we value our diverse staff and student community and maintain a culture where everyone can work and study together
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disassembly environment for recovery of critical raw materials, key to securing a circular supply chain to support a UK battery industry. As a PhD student, you will work with both academics from the AMT Group
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implement innovative approaches to ensure stability and thus safety of aircraft electrical power system. You will work with a research team focussed on aircraft electrification at the PEMC group. We
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to identify and promote approaches to reduce the environment impact of the sector. Ongoing research within Nottingham University Business School is examining the impact of this work within the social