10 operations-management-associate-professor PhD positions at The University of Manchester
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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transition, with an increasing need to deploy large-scale offshore wind turbines in harsh operational environments. As these systems grow in complexity and power rating, ensuring the reliability of generator
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discipline Strong quantitative and analytical skills Ability to work independently and manage time effectively Good written and verbal communication skills Motivation to address sustainability and climate
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additives in lithium-ion battery (LiB) electrodes. With the exponential growth in demand for high-performance batteries, the need for scalable, high-quality CNT production has never been greater. Chemical
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(contributing approximately 50%), advancements in aircraft technology (30%), and operational improvements (20%) – together supporting the industry's 2050 carbon-neutral growth objectives. Broadly, this project
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. Your work will feed directly into the development of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing
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fibre felts remain essential for applications requiring enhanced performance, such as high-temperature resistance, dimensional stability, or chemical compatibility. However, current research into circular
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solid-state nuclear clock, where thorium-229 is present in a host crystal, which could be suitable for applications from millimetre-accurate GPS to earthquake prediction. The performance of the clock
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controlled conditions, including changing the ambient gas, gas pressure, temperature and materials (from thermoplastics to thermosets), modelling the growth rate using kinetic models as a function of those
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, funded for 5 years, under the BBSRC Industry Prosperity Partnership (Round 2). By jointing the project, the prospective PhD student will have an exciting opportunity to work alongside 3 PDRAs with skills