81 parallel-computing-numerical-methods-"Multiple" PhD positions at Newcastle University
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and adapting existing simulation models of transport systems and development of methods for resilience analysis. The PhD project will suit students from any quantified background, including engineering
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Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · Search for the ‘Course Title’ using the programme code: 8315F · Research Area: Marine Science
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8315F Research Area: Marine Science Select ‘PhD Marine Science (full time) as the programme of
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to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course
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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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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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College London, who is an expert in bone biology and will provide the high-resolution computed tomography (CT) scans of the bone. The overall goal of the project is to use computational approaches to map
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relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and
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, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational biology. It contributes to more predictive and reproducible approaches in regenerative