14 data-"https:"-"https:"-"https:"-"https:"-"University-of-Bristol" PhD positions at University of Birmingham
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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of Dr Zhong-Nan Wang at UoB. The research of the group is focused on developing high-fidelity CFD and data-driven approaches for aerodynamics and aeroacoustics. The PhD project is expected to start in
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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. The project will be
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are found in the context of airway-derived metagenomic data. The project will be supervised by Dr David Cleary (UoB), Prof. Alan McNally (UoB) and Dr Meera Chand (UKHSA). Applications of a two page CV and
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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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. You will gain experience in laboratory skills, hands-on design and manufacture of components, advanced data analysis and programming skills. You will work as part of a cohesive friendly team and as a
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An interdisciplinary and international research environment Professional development in research communication, data analysis, and project management How to Apply Please send the following documents as a single PDF to
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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peristalsis throughout the intestine. The outcome will address a clear clinical need by providing sensitive, localized motility data to improve diagnosis of neuromechanical GI disorders. The sensor will rely