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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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forests across spatial scales - from the tree to the landscape level. We will link high spatial and temporal resolution remote sensing data with traditional ground-based forest monitoring data, novel
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are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline Demonstrated expertise in machine learning and computer vision
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering
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, geochemistry, remote sensing and data science into a multidisciplinary framework to capture changes in As contamination patterns and their drivers in the Red River and Mekong deltas. Understanding such changes