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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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Build Test Solutions Ltd (BTS). This is a fantastic opportunity to work towards a PhD whilst working with both academia and industry. We are looking for a self-motivated student, with an inquiring mind
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understand and characterise the real-world variability of conditions for chain drives in high performance sport. Improving the emulation of race conditions improves the optimisation of components for riders
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maintenance. However, current technologies are relatively slow and not capable enough to provide quick performance, diagnostic and prognostic predictions for real time applications. With the rapid development
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We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with Siemens and the UK Met Office. This project is ideal
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Introduction ParaFit 2032 will advance Para athlete health and performance, focusing on the interactions between performance, well-being, gender, and equipment ergonomics. Despite extensive research
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that align with Net Zero targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Closing Date: 15 July 2025 Overview
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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes The University of Nottingham This project
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work