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Improving recovery from pneumonia after hospitalisation Project description: Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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on previous interventions of pneumonia. Who is this PhD suitable for? This PhD is suitable for a hard-working researcher with an interest in respiratory infections and health economics. Essential skills: A
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engineering knowledge. Funding support We are offering home fees and UKRI minimum stipend. Further information Please contact Tao Yang ezzty@exmail.nottingham.ac.uk for further information Closing date 16
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Center, Utrecht) and industrial (Rarity Bioscience, Uppsala). About you A PhD or the equivalent in professional qualifications, and experience in mammalian cell biology and gene regulation is essential
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PhD Studentship: Revolutionising Litz Wire Development for Next Generation Ultra-High Speed Propulsion Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers
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PhD Studentship: Carbon Nanotube (CNT) Winding Development for Electric Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers an exciting opportunity
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position is ideally suited to candidates with a strong interest in root adaptations and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a
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are currently performed in our laboratory. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological science. The successful candidate should ideally
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of Medicine) – neil.nixon@nottingham.ac.uk Funded by the Mental Health Mission, Office for Life Sciences/NIHR, as a single PhD Studentship Award, we have a fully funded (stipend at UKRI rates, PhD fees (for UK