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Zero futures will impact on everyday lives, practices and social relations. In response, new approaches are developing more holistic, people-centred and place-based understandings. This work examines the
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collaborative, multi-disciplinary research groups at the University of Plymouth and Marine Biological Association, and with strong ties to national and international networks. You will benefit from regular
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their targets are simulated at the atomistic level. The most widely-used tool for this are molecular mechanics force fields, such as those developed by the Open Force Field Initiative [https://doi.org
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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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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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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capabilities within dynamic urban settings, where delivery demands and sensing requirements fluctuate rapidly across time and space. By developing intelligent scheduling and decision-making frameworks
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the following objectives, which will be developed and prioritised according to your interests. Map White Stork migration patterns and quantify how they are changing Investigate the underlying drivers of migration
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Project Supervisor - Dr Stefano Landini The rapid evolution of electric vehicles (EVs), data centers, and high-performance energy storage is driving the need for battery systems that manage heat
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head