77 requirements-engineering-"https:" "https:" "https:" PhD positions in United Kingdom
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://eng.ed.ac.uk/studying/degrees/postgraduate-research/phd/integrated-unde… Requirements Research FieldEngineering » Electronic engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications See: https
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requirements and focusing on data-value maximisation. This project will utilise innovative machine learning methods and tools from process systems engineering to simultaneously optimise product quality and the
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are seeking ambitious, innovative individuals to join our dynamic team. To find out more about our group and research, visit: https://www.ncl.ac.uk/engineering/research/electrical-electronic-engineering
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the supervisor’s complimentary research expertise in this area (https://millerresearchgroup.co.uk & https://www.lovelockresearchgroup.co.uk),[8,9 ] this PhD will involve the design and chemoenzymatic synthesis of a
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secondments at GE Vernova facilities in France. Essential Requirements First-class Master’s degree (or equivalent) in Electrical Engineering or a related discipline Strong academic background in power
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language requirements and profile levels . Prior to submitting an online application, you will need to contact the project supervisor to discuss. Online applications are made at http://www.bris.ac.uk/pg-howtoapply
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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available and how to apply, please visit: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Applicant Requirement 2:1 Bachelor or Masters degree or international
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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply