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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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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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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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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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Job Description Apply now Req Id: 37057 Job Title: Post Doc Research Assistant in Suppy Chain & Operations Management City: West Lafayette Job Description: Job Summary The Supply Chain and
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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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model's performance across different patient groups, including varying ages and comorbidity profiles. (b)Gather feedback from clinicians to refine and improve the model's utility in clinical practice
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on previous research at Cranfield, which has demonstrated the benefits, the project investigates the impact of various porous structures on aerodynamic performance. Focus is placed on the entire incompressible
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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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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