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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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expertise in trace gas measurements, VOC chemistry, and aircraft-based observational science. The ideal candidate will hold a strong background in either atmospheric science, environmental science, chemistry
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immobilisation, or even the chemical-physical environments thought to underpin the origin of life. This project offers a unique opportunity to work at the interface of experimental physics, data science, and
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, such as environmental, ecological or civil engineering, environmental science, hydrology, ecology, water resources management, and geography. A full-UK driving license is essential. The ideal candidate
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problems in health data science. Air pollution is composed of several different environmental pollutants, for example particulate matter (PM10 and PM2.5), ozone (O3), nitrogen dioxide (NO2) and sulphur
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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studentship is closely related to the current cohort of MOAP-PhD students and the wider PhD cohort in the group of meteorology and climate and the School of Geography, Earth, and Environmental Sciences
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interventions across wastewater treatment operations. CVORR incorporates environmental, economic, technical, infrastructural, policy, and social dimensions to enable systemic and context-sensitive decision-making
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about to obtain, a First or Upper Second-Class UK Honours degree, or the equivalent qualifications gained outside the UK, in Statistics, Mathematics, Data Science or Computer Science. To apply, please