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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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. Experience in quantitative research in biology is essential. Desirable criteria include experience in standard laboratory techniques (including microscopy) and strong numerical skills. Month when Interviews
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. The scholarship can be held in any of the 8 Departments within the School of Social Sciences. It is expected that the award-winner will be working in an interdisciplinary area of study focused on one
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disruptive aircraft configurations involves combining advanced engineering practices, including computing power, sensing, AI/ML, and system-level engineering. Comprehensive verification and validation
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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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of TB this country. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is
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The bacterium Clostridioides difficile is an important cause of diarrhoeal illness, particularly in the elderly and those undergoing antibiotic therapy. C. difficile infections (CDI) are difficult
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ten world-wide sources of mortality. Diagnosis of respiratory tract infections is challenging despite them being one of the most common reasons for seeking healthcare, and one of the most common reasons
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industrial sponsor, Frazer-Nash Consultancy, is a leading engineering and technology company actively working towards Net Zero solutions, providing unique industrial insights and direct alignment with real