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. The research will encompass rig design and development, advanced aerodynamic measurements, instrumentation integration, and advanced aerodynamic post processing for complex unsteady flows. The overall aim is
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and cell-free biosensors, alongside novel mechanisms for sample processing. These aim to simplify nucleic acid detection and enable passive, self-reporting tests to transform surveillance and response
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at the intersection of smart cities, digital governance, and innovation ecosystems, focusing on how digital technologies can support the design and operation of complex urban innovation districts. The anticipated
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desirable. Funding Support and Research Environment After a suitable candidate is identified, funding will be sought from the University of Nottingham as part of a competitive process, covering home tuition
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quarantine pests/pathogens. You will evaluate technologies such as CRISPR-based systems, strand displacement reactions and cell-free biosensors, alongside novel mechanisms for sample processing. These aim
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competitive process. Eligibility and how to apply This studentship is available for UK nationals, or in exceptional circumstances international applicants where the candidate has a strong application
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) citizens. Application Process Informal enquiries may be addressed to: Dr Stephen Ambrose – Stephen.Ambrose3@nottingham.ac.uk Interested candidates should submit the following documents: • Curriculum
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contributor, yet sodium plays a critical functional role in batter systems, influencing flavour delivery, texture, processing robustness, and consumer enjoyment. This fully funded PhD studentship will tackle
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based fuels is creating exciting new scientific and engineering challenges. Compared with traditional crude oil, bio feedstocks behave very differently during processing, sometimes causing much faster
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT