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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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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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11.11.2024, Academic staff In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress
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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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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
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Engineering Research Group and the Advanced Manufacturing Technology Research Group at the University of Nottingham, applying modelling, simulation, and data-driven methods to link high-level performance
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to quantify energy and nutrient intake patterns in people with asthma and overweight/obesity. These data will be linked with serum micronutrient markers (vitamin D, iron indices, calcium, B vitamins and trace
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create, annihilate, and reconfigure magnetic textures on demand. This capability will establish direct causal links between atomic-scale structure, symmetry breaking, and emergent magnetic topology
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mycoprotein ABUNDA. This placement will provide hands-on experience of large-scale mycoprotein production linking fundamental biological research with industrial innovation and pre-market food technology. Using