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proud to be a member of the Met Office Academic Partnership (https://www.birmingham.ac.uk/research/moap/home-page ) and the studentship is closely related to the current cohort of MOAP-PhD students and
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engineering wake models to mesoscale simulations with wind-farm parametrisation, when predicting wake effects and thus annual energy production. The student will improve current models used by industry such as
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
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) deliver interactive, year-by-year visualisations of model outputs to inform policymakers and conservation planners on how current and future temperatures affect different turtle populations. Impact: This
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settings, while providing essential process insights (such as electrode spacing, solvent chemistry, and operational voltage/current conditions) to support further technological development. Project specific
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inconsistent. This is often because current approaches focus on adding lots of microbial diversity rather than identifying the specific microbial functions and network interactions that truly drive plant
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detection. The successful candidate will engineer selective surface chemistries, advance flow-through detection methods, and apply the sensor to mechanistic studies of PFAS interactions with proteins and
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discipline. To apply, please contact the main supervisor; Dr Chen - ying.chen-2@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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% of their body weight), and can be studied in situ using biorobotics, flow-through respirometry and other cutting-edge techniques. Our supervisory team is an interdisciplinary collaboration across the DLTP