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Field
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to: build predictive spatial models for VME distribution and resilience under current and future climate scenarios; define and quantify functional traits of VME taxa; identify key functional groups, map
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. Changes in water table pre- and post-restoration will be monitored using the existing network of piezometers distributed across the floodplain and additional piezometers installed. Additional measurements
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, interdisciplinary research group, including a postdoc, DTP students, and technicians. Training will include fieldwork, bird handling, ringing, lab techniques in molecular biology, microbiome sequencing
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new brain stimulation methods, you will contribute to developing closed-loop algorithms for regulating brain dynamics with clinical applications in epilepsy and psychiatric disorders. Number of awards
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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, materials, land and agricultural stocks and flows and their distributions. Considering how councils in partnership with civic society and businesses can better consider quantitative and qualitative data
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, integrity-aware multi-domain navigation benchmark and associated algorithms, tested in realistic operational environments. The outputs will support standardisation efforts, accelerate cross-domain navigation
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the spatial distribution of woodburning emissions. Integrate observations into inversion modelling to refine regional and national emission inventories. Model the impact of woodburning on UK air quality and
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networks perform well across UK towns and cities, where benefits are unevenly distributed, and how design or management interventions could enhance resilience and equity. A key component of the research will
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification