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Field
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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processing Thermal processing technologies (MATS, microwave, RF, retort) Food safety, shelf-life, and nutrient retention Develop and apply AI/ML models for: Shelf-life prediction and quality degradation Cold
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. The functional relevance of these biomarkers will be investigated using both in vitro and in vivo models, as depicted in the publications of team. Selected Publications from the Team 1: Dousset L, et al
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innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development
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dataset generation technique to optimize the training of neural networks (NNs) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 17 days ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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. Investigates treatment-associated toxicities using clinical data to develop predictive risk models. Applies survival analysis techniques to evaluate long-term outcomes in diverse pediatric patient populations
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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. The postdoc will collaborate closely with modelers to integrate observations into predictive tools, and with social scientists to help place MRV findings within broader governance and stakeholder contexts