52 operations-management-associate-professor PhD positions at University of Birmingham
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Research topic: Reconciling the Ediacaran and Cambrian fossil records of early animal evolution. Applications are invited for a Postdoctoral Research Associate in palaeontology/palaeobiology
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The development of sustainable and efficient powertrain systems is central to achieving global decarbonisation targets in transport. Professor Xu has long-standing expertise in internal combustion
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improved. The project will also liaise with users (e.g., (re-)insurance sector, UK Government Foreign and Commonwealth Development Office (FCDO), Met Office operational warning and guidance team) to gather
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Implant-associated infections and Enhancing Longevity in Devices) and contribute to cutting-edge research aimed at combating implant-associated infections. The PhD student will be involved in Work Package 1
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Our scientists, from professors to postdocs to students, hail from all corners of the world, representing over 80 different nationalities, and building on research and degrees earned from the finest
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. The studentship is also closely related to our School of Engineering. Supervisory team: Dr Gregor C. Leckebusch (University of Birmingham) Professor of Meteorology and Climatology (UK Met Office Joint Chair
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structures has become a vital strategy for minimising the environmental and economic costs associated with demolition and new construction. However, one of the most pressing threats to structural integrity is
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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management plans. By undertaking this work in Indonesia, a region with multiple island volcanoes and an extensive history of past volcanic tsunamis, the project also aims to develop research approaches and to
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existing biomedical foundation models (e.g., Med-PaLM) using techniques like Low-Rank Adaptation (LoRA). Big Data Analytics: Managing and analysing complex, multi-modal data from globally significant