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judged according to how well they meet the following criteria: A first class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering, Applied Mathematics or Physics
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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an applied mathematics background who have an interest in material science, manufacturing, and/or process modelling are particularly encouraged to apply. How to apply: Prior to submitting an online application
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for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline. A relevant master’s degree and/or employment experience will be
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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
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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. International 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 You must apply through
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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be
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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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of Engineering, Newcastle University Prof Sean Wilkinson , Professor in Structural Engineering, School of Engineering, Newcastle University Eligibility Criteria We are adopting a contextual admissions process