64 requirements-engineering "https:" "https:" "https:" PhD scholarships in United Kingdom
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Preparedness and Response, this PhD will examine how technology-enabled communication tools can improve coordination during major incidents, with a particular focus on equity, inclusivity and trust. The central
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Applications are invited for a fully funded four-year PhD studentship at the University of Birmingham exploring how engineered microbial ecosystems can be developed as next-generation microbiome
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: For the full advertisement, including details on the project, eligibility and how to apply, please visit: https://www.iwm.org.uk/research/doctoral-awards Candidate requirements: Applicants should ideally have
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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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Resalati Supervisors: Dr Aydin Azizi Contact: Prof Shahab Resalati (sresalati@brookes.ac.uk) Entry requirements: Essential Criteria A Master’s degree (or equivalent) in Electrical Engineering, Control
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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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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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://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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data set (e.g. neutron irradiations, that take years/decades to generate). Digilab brings AI/ML (artificial intelligence / machine learning) approaches for data engineering and automation to utilise