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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time
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accuracy and accessibility for subsequent analysis. Geospatial Analysis: Undertaking the processing of geospatial data and remote-sensing imagery, utilizing advanced analytical tools to derive meaningful
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evapotranspiration. This position blends modelling of crop evapotranspiration with in-situ and remote-sensing observations to support smarter water use for sustainable farming in the province of Zeeland in
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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, technical leadership and business development duties related to developing, maintaining and deploying all aspects of computer systems related to remote sensing and imaging platforms. This may include writing
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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the research projects - “Monitoring and predicting slope instability in forested terrain from multi-mode remote sensing data” and “Resilience of rural infrastructure and communities to climate change
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employment package, including hybrid working, blending a mix of remote and on-campus working (dependent on work duties). This post is subject to an enhanced Disclosure and Barring Service check. Regular status