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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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of coastal wetlands to environmental disturbances. Data Integration and Analysis: Perform multimodal and multiscale data analysis by integrating a diverse range of datasets, including in situ observations
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affordability of energy supplies. The PSR group focuses on resilience, data analytics, protection, and EMT simulation research. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models
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physiologists, and data scientists to tackle fundamental issues in AI/ML-based photosynthesis research and applications. The selected scientist will have access to the world’s most advanced resources in computing
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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. Some experience with data acquisition in large physics experiments. Familiarity with EPICS - accelerator control software. Experience with Particle-In-Cell codes. Demonstrated ability to communicate
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large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI