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durability against chloride ingress and carbonation; Predicting service life of precast SCC elements; Coupling experimental durability data with advanced numerical simulations. The researcher will be based in
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introgression of desirable traits into elite crop varieties by predicting recombination landscapes across a vast number of potential parental crosses. Implementing the project involves working with a variety of
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, Interns and Visiting Researchers, as applicable; develop and evaluate AI/ML models to identify, quantify and predict climate change impacts relevant to adaptation, resilience and mitigation on the topics
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) incorporating mineralized SCMs. The research will focus on: Modeling long-term durability against chloride ingress and carbonation; Predicting service life of precast SCC elements; Coupling experimental
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learning, statistical techniques, and AI to analyze data, predict response to diet, and identify signatures determining response to diet. A strong foundation or affinity with statistical modeling, with
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the execution of the dietary intervention trials Ability to apply machine learning, statistical techniques, and AI to analyze data, predict response to diet, and identify signatures determining response
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heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behavior, and for make sense of context. We combine fundamental, experimental, and applied research, and
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements
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work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behavior
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batteries (solid-state) via a physics-informed data-driven approach. Accurate prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety