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Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent hardware. Through collaborations with the Aerospace Integration
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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Module Leader, Year Tutor, Degree Programme Director, Outreach Co-ordinator Contribute to the Business School’s international, programme and professional body accreditations Contribute to the wider work
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in hospital admission, loss of independence, and increased reliance on health and social care services. It is essential that technology-based solutions are introduced in a way that is person-centred
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa
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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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. Creation of these ABMs will advance our understanding of why evolution selects and maintains individual heterogeneity [1]. You will apply this knowledge to engineered swarm systems. Swarm systems tend
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University Technology Centre being a part of Computational Engineering and Design research group in Department of Aeronautics and Astronautics at the University of Southampton, which is deliciated
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle