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are seeking an enthusiastic, self-motivated, and resourceful PhD candidate with a strong interest in sustainable buildings, retrofit, and environmental performance. The successful applicant will be motivated
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree. And Be
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and servers such as gradient compression, asynchronous training, reduced synchronization frequency, semantic communication, and design of new application and transport layer protocols. Data management
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a master’s degree And Be
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree from the
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree And Be
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apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search
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approaches validated by industry partners – ensuring AI systems are accurate, transparent, and aligned with stakeholder needs. Your research will help shape next-generation AI tools that enable trustworthy
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composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and
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supervisor - Dr Haitao Lan, if you have any questions. Entry requirements: Applicants should have, or expect to achieve, a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline