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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and
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shear flows, aerodynamics. Numerical analysis, in particular Computational Fluid Dynamics. Excellent programming skills in C, Fortran, or any other high-level language. Desirable: final-year project on a
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ensure the smooth day-to-day operation of the programme. The post requires excellent organisational skills and a high level of attention to detail throughout the project cycle including administrative
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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-particle interactions in LC3 encapsulants produced from a suite of high and low-grade precursor powders, benchmarked against common PC-based encapsulants. It adopts a new in-situ characterisation approach
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PhD student to develop high-performance avalanche photodiodes for detecting weak infrared optical signals. The PhD student will gain a range of valuable skills for semiconductor research (e.g. wafer
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leadership abilities will be crucial for success in this role. Main duties and responsibilities Remove external impediments for the team, enabling them to focus on delivery. Lead a team that develops high
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Overview As a Research Assistant in intelligent robotics for manufacturing, you will support implementation of advanced control and learning methods to enable robots to perform complex manufacturing