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Are you passionate about the reduction of aircraft noise? Do you want to contribute to cutting-edge research that will lead to silent airfoil design? Applications are invited for a 3.5-year UK PhD
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breaking towards achieving silent aircraft design? Applications are invited for one funded 3.5-year PhD studentship for the project titled ”Data-driven modelling and control of turbulence-generated noise” in
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of pathogens in the UK. We are seeking a PhD student to perform a project analysing the MScape metagenomic surveillance of infectious disease data set. We aim to recreate strain level information of pathogens
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international importance, with clear pathways to uptake within the UK’s sovereign capability frameworks. To apply, please contact Prof. Kit Windows-Yule (c.r.windows-yule@bham.ac.uk ). Funding notes: This PhD
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Experimental low-temperature physics involving nanofabrication, high pressure measurements, extreme magnetic field and milliKelvin temperatures to tune exotic low dimensional materials. Hands-on experiments & development and opportunities for travel to international facilities. This project is...
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In 2017, the WHO first identified a group of priority pathogens presenting the greatest risk to global human health. As of 2024, Acinetobacter baumannii, remains a top priority. The microbe thrives in hospitals and resists most antibiotics. Remarkably, the microbe lacks disease causing...
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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and imperfections, making them both conceptually deep and technologically promising. This theoretical PhD project will investigate how topology and quantum geometry emerge and intertwine such as
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avenues by enabling chronic, gut-based monitoring of neuroendocrine activity for applications such as closed loop therapeutics. The proposed PhD project sits at the interface of biomedical engineering
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models