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the Geospatial Science and Human Security Division (GSHSD) at ORNL. The group performs artificial intelligence, computer vision, and federated learning research initiatives, with emphasis on large scale geospatial
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of climate finance, climate policy, resilient development, and climate risk analytics. Experience analyzing big data, ensemble simulations, and remotely sensed data products. Efficiency in the use of high
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/implications the technology is appropriate (paybacks, TCO, benefits, heat maps, efficiency gains, etc.) using novel big data sources and techniques Deep dive analytics on powertrain, vehicle and infrastructure
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environments and interfaces for systems biology Analyze large biological data sets to build accurate predictive models of biological processes and publish original work Collaborate with internal and external
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laboratory experiments, analyze quantitative data, write, and communicate results to the scientific community. Major Duties/Responsibilities: Design, conduct and interpret laboratory experiments that lead to
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on resilience, data analytics, protection, and EMT simulation research. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models for transmission or distribution grids, inverter-based
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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, variational auto encoders, segmentation and feature identification, etc.; 2) ability to data-wrangle large data-sets that may include images, video, 3D cad files, time series, electrochemical data-sets and 3
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by the DOE Early Career Research Program. The objective of this research is to evaluate how coastal biogeochemistry is shaped by large-scale water diversions along the Louisiana Gulf Coast
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Qualifications: A PhD in electrical and computer engineering, remote sensing, geomatics, geoscience, or a related field completed within the last 5 years Experience in developing AI/ML methods for analyzing large