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control of predictable and reliable biotechnologies”, a collaboration between the universities of Oxford, Bristol, and Imperial College as well as several industry and academic partners. The research
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 8 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0006-NPP-NOV26-KSC-Interdisc How to Apply All applications must be submitted in Zintellect Please visit the NASA
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; data assimilation; scientific machine learning and AI applied to wildfire prediction; smoke and fire-atmosphere interactions; and experimental or observational approaches supporting wildfire model
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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intelligence, as it develops model learning methods based on optimization, together with predictive validation procedures designed to assess the generalization ability of models on new data. Current approaches
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and AI techniques will be used to predict periods of harmful phytoplankton occurrence and to investigate their environmental triggers in the Galician Rías Baixas (NW Iberia). The work will also involve
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in-line or at line spectroscopic tools Large-data, modelling and prediction of food and ingredient processes. Understanding of biological production systems and their use, and with an emphasis
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learning/AI for simulation and prediction of the outcome of process unit operations on food and ingredient functionality. Formulation and fluid dynamics of complex emulsions and the mechanisms governing
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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Smart Economy Program