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                to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures 
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                levels of need. Children on CiN plans and CP orders constitute a large proportion of children and families seen by children’s social care services and are at high risk for out of home placements, thereby 
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                landscape, from SMEs and start-ups to OEMs and large-scale global manufacturers. For more information, see the MTC website . Contact For further information contact katy.voisey@nottingham.ac.uk 
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                data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category 
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                -the-fitness-costs-of-drug-resistance-in-cancer for further information. The project aims include: Project aims Barcode a panel of cancer cell lines to enable genetic lineage tracing Design a large-scale 
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                melanogaster. This project will take the next big step: moving from finding sexually antagonistic genes to uncovering what makes them special, how they affect fitness and life history traits, and the molecular 
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                overcome resistance conferred by the yellow rust resistance gene, Yr15. Due to the widescale deployment of this single resistance gene in UK wheat varieties, a large portion of UK wheat acreage is now 
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                ecology and oceanography, the project will leverage large existing datasets on (i) the movement of migratory seabirds throughout their annual cycle, available via BirdLife’s Seabird Tracking Database (STD 
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                ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions estimates, based on inventory-style accounting and mobile tracking data, can differ significantly from each 
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                data-driven approaches, multi-scale model development and software development depending on the interest of the successful applicant. Big picture: The Tarzia Research Group (https