29 pattern-recognition "https:" "CMU Portugal Program FCT" PhD positions at Newcastle University
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(2025/26 UKRI rate). Overview The project aims to design and optimise new warheads for the modification of lysine. Targeted covalent inhibitors (TCIs) have vast potential to open new therapeutic avenues
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· Interest/experience in health services research How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate
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pathways. The goal is to design bio-instructive materials that actively direct immune and bone cells toward regeneration. These will be characterised using AFM and rheology, followed by immune–osteogenic co
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and to study on this programme. How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research
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involve the the design and synthesis of new covalent fragment screening libraries incorporating novel hydrophobic warheads using a Fraglite design approach This covalent fragment set will be designed
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: design of experiments, life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core subjects of this PhD programme including
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, drive and strengthen your research: design of experiments, life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core
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, an interest in biomedical research, and the ability to work independently are essential. Prior experience/knowledge in Electromagnetism, COMSOL, microfabrication, and PCB design are desirable but not essential
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include very high temperature stability, high mechanical stability and longevity, excellent chemical resistance, and tuneable microstructure. Combined with the design freedom of 3D printing, we have the
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible