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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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project will transform rain garden design by linking plant traits to hydrological and ecological outcomes, ensuring resilience under alternating drought and flood stress. Working with the Royal
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approaches that overlook plant ecology and the interaction with soil structure development. This PhD project will transform rain garden design by linking plant traits to hydrological and ecological outcomes
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across disciplines, linking ecology with data-driven analysis; How to apply Interested applicants should contact Dr Weizhuo Wang (w.wang@mmu.ac.uk ) for an informal discussion. To apply you will need
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the integration of exposome, multi-omics, and brain–body-derived data from diverse population-based cohorts to characterise the biological mechanisms linking environmental exposures to brain and body outcomes
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and to link outputs from meteorological macroscale models to microscale load effects on buildings and structures. The model will be used to simulate a wide range of weather conditions – from severe
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project is funded by the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based
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: Developing and applying life-course chronology methods to understand trauma, adversity, and social instability across the lifespan. Collecting and analysing data on cPTSD symptom dimensions, inhibitory control
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group boundaries. Data : Leveraging existing datasets (e.g., Statistics Netherlands [CBS] administrative microdata on employees linked to organizational surveys) and collecting original data (e.g
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, nutrients and organisms across ridges and between shelves and deep basins, are driven by mesoscale eddies that link the warm Atlantic layer with colder shelf waters and shape the deep basins and Arctic