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Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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generation applications, the sectors where Europe and Britain are world leaders and major exporters. This high technology global industry is worth more than £30 billion per annum. Current challenges
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solutions that extend the operational life of devices and reduce environmental impact, applicable to areas like smart grids, electric vehicles, and portable electronics. Research Focus Areas: Power-Aware
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-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and
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propulsion systems. You’ll join the wider CDT multidisciplinary cohort that values equity, diversity, and inclusion, while gaining expertise in aero-engine aerodynamics, analysis of advanced experimental data
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the identification of topologies and technologies that can support current and future geared architectures. Within this context applying Model Based Systems Engineering principles for defining requirements and
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. Our current research has an overarching focus on sustainability in and from space, working closely with industry and agency partners to deliver cutting-edge solutions for real-world problems
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equivalent in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science/engineering, applied physics/mathematics, or related fields. Prior experience