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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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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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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
datasets. Developing explainable AI (XAI) models to facilitate clinical decision support systems (CDSS) and enhance trustworthiness in healthcare settings. Addressing longitudinal and time-series data
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Galvanostatic Intermittent Titration Technique (GITT) for diffusion coefficient determination. Degradation Studies: Investigate structural, morphological, and interfacial degradation mechanisms to improve
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Galvanostatic Intermittent Titration Technique (GITT) for diffusion coefficient determination. Degradation Studies: Investigate structural, morphological, and interfacial degradation mechanisms to improve
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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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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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would be a useful tool for the evaluation of ABC Program and to encourage decision makers and planners to diffuse sustainable land use strategies and soil management systems in Brazil. Job description
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of natural resources (soil, land, water, and agriculture) in the context of climate change. One of CRSA’s primary objectives is to provide decision- support tools and services to local, national, and
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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