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California State University, Long Beach | Long Beach, California | United States | about 2 hours ago
or conference presentations in healthcare finance, healthcare risk management, health economics, reimbursement, cost modeling, risk forecasting, or financial decision-making in health care systems, patient safety
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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Your Job: Remote sensing data from satellites are an extremely valuable information source to improve air quality predictions. They monitor aerosol and trace gases often with global coverage, which
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
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, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
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the project “Novel unified multiscale predictive tool for gaseous microfluidic flows in Knudsen Pumps”, reference 2023.13693.PEX, funded by national funds (OE) through FCT, I.P., under the following conditions
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knowledge representation • Agent-based and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced
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collisions recorded by the ATLAS experiment at the LHC. The analysis will be carried out in different energy regimes, including those that are still largely unexplored, in order to test the predictions
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at the Oden Institute are diverse and build upon the mathematical foundations for predictive science, data science, machine learning, and (in particular) physics-based modeling using state-of-the-art computing
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and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance