483 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" PhD scholarships in United Kingdom
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highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data analysis will be an advantage. Enthusiasm for field research, the ability
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, stormwater/SuDS design, soil-plant-water interactions, or plant ecophysiology is highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is
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techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices
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-effort services rather than guaranteed real-time performance, and the transmission of multi-modal data streams in telesurgery—such as point clouds, haptic feedback, and audiovisual signals—places
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to learn from. Augment Data with Generative AI - You will use physics-constrained generative models (Diffusion models/GANs) to create a diverse library of synthetic microstructures, improving model
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TypeFixed-termWorking TypeHybridAvailable for SecondmentNoClosing Date30-Apr-2026JD_Param11NoJD_Param12No Two 3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded
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energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage solutions
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. Further details about the project, eligibility and application process can be found in the Further Information document. PhD studentship: Recording nature and writing the self: time, entomology and the