466 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" PhD positions in United Kingdom
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare remains under-researched, particularly in areas like rare diseases, neonatal care, and chronic...
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability. Where to apply Website https://www.swansea.ac.uk/postgraduate
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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Engineering select ‘PhD Electrical and Electronic Engineering (full time)’ as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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accountably. This is where you come in. Your mission Working at the intersection of privacy research and real-world engineering, you'll design and build a computational stewardship engine—an autonomous agent
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push the boundaries of IoT and edge computing but also position yourself as a future leader in MEMS technology and natural computing. Supervisors: Primary supervisor: Amal Hajjaj Secondary supervisor
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to the delivery of the Chair’s programme. More information on the UNESCO Chair in Storytelling Education for Sustainability can be found here: https://www.lboro.ac.uk/schools/design-creative-arts/unesco-chair
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Skills/Background The applicant should have a solid background in computer science or systems engineering. Knowledge of AI/ML algorithms and simulation environments is highly advantageous. A keen interest