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based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work closely with research teams to produce usable data and contribute to scientific publications
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absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one
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of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as
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progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in
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Ability to transform complex data into actionable insights for research and decision-making. Strong capacity to work within multidisciplinary teams, including urban planners, technologists, and hydrology
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international) that aid in the decision support of water and food systems. Job description Global drylands are rapidly expanding, bringing with them increasing risks of desertification, salinization, and
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habitat and determine availability of life-sustaining resources ”. Its limits range from the top of the canopy down to the bottom of the aquifer. The successful applicant to this position will join the
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of services and operational products to users (local, national and international) that aid in the decision support of water and food systems. Job Summary The effects of climate change are already being
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, agriculture) in the context of Climate Change. One of the center’s goals is to provide a set of services and operational products to users (local, national, and international) that aid in the decision support
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. However, very little work has been performed on system/network optimization while considering the communications requirements jointly with the decision fusion process. This approach will produce novel