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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
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: • PhD (or strong industrial experience and a Master’s degree) in Control Engineering, Power Electronics, Embedded Systems, or closely related disciplines. • Proven experience in the design and
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Essential: PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. Demonstrated experience in techno-economic assessment and
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In particular, the Research
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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development of the National Facility for Ultra-High Field (11.7T) human MRI/S at the University of Nottingham. We are looking to recruit MR physicists and biomedical engineers, or equivalent, enthusiastic