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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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and reporting, and develop solutions that help people make better, data-driven decisions. Key responsibilities Develop, maintain and improve Power BI dashboards, reports and data visualisations. Gather
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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modeling or other data mining capabilities. Additional Department Summary: Supports UA Athletics' data management and analytics efforts by building and maintaining business intelligence solutions and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
university, with more than half of our almost 21,000 students coming from outside of the province. Our 6,000 faculty and staff foster a vibrant, purpose-driven community, that celebrated 200 years of academic
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simulations, enhanced sampling, and kinetic modeling. Research activities will examine molecular interactions involving neurotransmitters and hormones, including norepinephrine and estrogen, and their effects
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include physics-informed machine learning, digital twins for turbines and reactors, AI-driven design of energy hardware, predictive maintenance of energy infrastructure, and data-driven modeling of fluid