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fluidised bed granulation for powder-based pharmaceutical manufacturing. Fluidised bed granulation processes remain a challenge to design, scale up and control, and this can result in high costs
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and low power (yet high performance) RF circuits and hardware, spanning the entire field and spectrum of RF design. The purpose of this research project is to investigate present state-of-the-art
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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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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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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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-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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with the University’s strategic goals. Ensure performance data and the evolving risk landscape have been comprehensively considered as part of planning activity. Work with senior leaders to understand
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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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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details