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ecology and associated fisheries. A gap in local knowledge/data and technical capacity to coordinate and deliver usable data tools was identified. This gap inhibits the dynamic understanding of the impact
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, the project will integrate these data into a predictive framework to assess how MNPs disrupt plankton community dynamics and the efficiency of the biological carbon pump. The research will provide
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rivers are dynamic systems transporting sediment, wood, and nutrients. This disconnect can lead to underperforming flood assets, where sediment accumulation, blockage, or erosion reduces efficiency and
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of future generations. This Leverhulme doctoral programme will train a new generation of interdisciplinary scholars to develop a deeper, holistic view of the interactions between humans and freshwaters
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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computational tools to interpret methylation profiles from cfDNA Use sequencing to reconstruct clonal dynamics through treatment and resistance Apply the new methodology to samples from large clinical cohorts
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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform
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early as the advert may be removed before the deadline. High-dimensional computations are ubiquitous in science and engineering, often arising from models with numerous parameters. For instance
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: Machine Learning Molecular Dynamics. The project involves the development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first
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modelling and behavioural science. The first part will be based on the use of Computational Fluid Dynamics (CFD) to diagnose the air quality of indoor spaces where people live and work (presence of pollutants