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role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
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shading or relocation. Addressing this gap requires the integration of physiological models, environmental sensing, and data-driven forecasting, tools that can provide the predictive power urgently needed
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volumes in a reliable, repeatable, and automated way. This project aims to establish a data-driven, adaptive framework that develops artificial intelligence tools, integrated with advanced geostatistics
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practice? Species’ traits provide a promising framework for quantifying ecosystem integrity. We are looking for a Doctoral Researcher with a strong interest in ecology and conservation biology to develop
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access to their proprietary InSAR-derived geospatial datasets, expert technical mentorship, and support in integrating loop closure metrics into agricultural monitoring tools. The doctoral researcher will
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expertise in perturbed parameter ensembles and machine-learning model integration. A CASE placement at the Met Office will further strengthen your applied training and professional network. CASE Partners
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. Improvements made will also reduce maintenance demands and extend asset lifespans, contributing to environmental and financial benefits. Integration of smart sensors will also transform gullies into IoT-enabled
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural