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business models is important as they can still reduce resource consumption and extend product life cycles, while also generating jobs and addressing pressing needs for low-income strata of societies
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
on controlling public health risks from pollution at catchment level. Per- and polyfluoroalkyl substances (PFAS) are considered to be ‘contaminants of emerging concern’ due to their environmental persistence and
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. Closing Date for Applications: 30th June 2024 Start Date: 30th September 2024 (contract duration 4 years) Increased public interest and concern with the state of UK rivers and open water bodies has focussed
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resources provided by the Centre for Vision, Speech and Signal Processing CVSSP at the University of Surrey and from collaboration with the Foreign, Commonwealth and Development Office (FCDO) and the National
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utilised process simulation to predict the fibre architecture, taken into account the influence of manufacturing induced fibre re-orientation and re-distribution. However, due to the lack of experimental
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gaining access to work sites for research purposes. In addition, the student will be provided with office space at the university and will be welcome to attend academic events and classes in the Sociology
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office space at the university and will be welcome to attend academic events and classes in the Sociology Department and Labor Studies programme. This scholarship lies within the research centre the Centre