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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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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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experience with experimental design, eye-tracking, data analysis, and coding (e.g., R, Matlab, Python) are highly desirable but not essential. The project will be supervised by Dr George Malcolm and the
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fragility of quantum states that are very easily disrupted by uncontrolled interactions with their environment. A front-running strategy to shuttle quantum information around is by encoding it into single
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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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Bachelors Honours degree (or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical
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of data. Ensure the validity & reliability of data at all times. Maintain accurate & complete records of all findings. Assist with the writing of reports to research sponsors. Present findings to colleagues
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materials. What you would be doing Main Duties: Process ceramics with aligned microstructures. Characterise the microstructure and residual stresses in the samples. Ensure the validity and reliability of data
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hands-on experience in human physiology, nutrition, data analysis and clinical research, while also engaging with diverse stakeholders across academic, clinical and community settings. The project’s