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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
to collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. A life cycle based approach may be taken
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(IoT) device ecosystem. Despite the technology’s potential, however, flexible electronics face numerous technology challenges. This PhD project aims to tackle one of the most critical technology
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, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
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the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship. The research undertaken at the UCL School of Management has been
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, etc The Person Knowledge, Skills and Experience Essential Proven expertise in the areas of security, formal methods, program analysis and software engineering Experienced in programming and tool
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transformer designs. Applicants should have, or expect to achieve, first class honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Applicants must
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guidelines and standards, and technology maturity benchmarks to derive cloud platform maturity level standards. Lead on the development of business models, financial analyses, and market adoption strategies
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implementation of decentralised personal data governance frameworks? Technology: How can multimodal knowledge graphs in combination with generative AI help individuals govern their data (e.g. within decentralised
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This