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inundation processes. Incorporate wave setup effects by coupling WAVEWATCH III radiation stresses to E3SM configurations for coastal extreme water levels. Validation and application. Design and run event-scale
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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Institutional Review Board (IRB) submissions at a major academic institution. Experience utilizing data visualization software (e.g., Tableau, Power BI, R Shiny) to design and implement interactive dashboards
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the following responsibilities: ● Leading the development of predictive bioeconomic models to estimate economic outcomes, including fisheries spillover effects and biodiversity benefits, across global
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quantitative modeling and data analysis. Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI. Ability to work effectively on
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using Landsat, Sentinel, and PlanetScope datasets for remote sensing applications; possess advanced computational skills, including data visualization and proficiency in Python, R, or MATLAB; have
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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analytical and modeling skills, including data science, database management, data visualization, etc. Strong publication record Experience working on subjects related to one or more of three main research
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Requisition Id 15907 Overview: The Radiation Effects and Microstructural Analysis Group (REMAG) within the Materials Science and Technology Division at Oak Ridge National Laboratory (ORNL) is
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for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic processes in