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greater stress. The understanding of the relation between the material microstructure – grain structure, grain orientations, defects – and the in-service performance of the wheel is limited at present
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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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in the setting of one-dimensional holomorphic dynamics (the iteration of functions of one complex variable). For polynomials and rational functions, hyperbolic functions are well-understood: Such a
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balance between weight and structural integrity is essential so that safety and performance are not compromised whilst maintaining material efficiency. Consequently, novel approaches to product design, such
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that these Pu rich islands and the degree of neutron poison homogeneity will affect the performance under disposal conditions, where issues such as aqueous durability are a key concern due to groundwater
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4 year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function University of Nottingham, School of Medicine Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr
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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
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PhD Studentship: Development of Next-Generation High-Performance Titanium Alloy for Aerospace Applications Funder: EPSRC and Rolls-Royce plc Duration: 3.5 years Supervisors: Professor Nick Jones and
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interested in the design of structurally sophisticated and functionally complex molecular and supramolecular hosts, including coordination cages(1,2), frameworks(3) and mechanically interlocked molecules(4,5