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investigate how corrections can be integrated into GNSS-IMU fusion frameworks, allowing the use of low-cost sensor outputs as proxy labels for large-scale, low-cost training. This approach has the potential
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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