620 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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Neuroscience. You may also be considered for this position if you have professional qualifications or experience in engineering. Candidates should demonstrate willingness to build and program their experimental
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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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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particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry or a related, relevant subject
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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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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based