64 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"P" positions at Newcastle University
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of international partners. Research will be done in the cooperation with Literal Labs, a NU spin-off from the School of Engineering that is working on logic-based ML models and with National Edge AI Hub. Number
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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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Supervisor: Dr Rehmat Ullah , Internal Co-supervisor: Dr Husnain Sherazi , External Co-supervisor: Dr Ahmed MA Sayed Eligibility & How to Apply For more information on eligibility and how to apply please visit
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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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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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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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: October 2026 Award duration: 4 Years Sponsor: School of Engineering, Newcastle University Supervisors: Dr Xu Deng Eligibility criteria The award is available to UK and international applicants. You should
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language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational