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properties, validating simulations, and providing guidance on formal design, test planning, data analysis, and fabrication in collaboration with stakeholders. The role also involves collaborating with external
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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Requisition Id 15716 Overview: We are seeking a Postdoctoral Research Associate - Meteorologist who will focus on the development, testing, and deployment of data analysis methods for a variety of
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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following completion of your application, please e-mail the following documents to schrellsk@ornl.gov : Cover letter Current CV Unofficial transcripts Three letters of recommendation (one must be from Ph. D
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473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation
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as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain
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473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation
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scalability and simulation accuracy of quantum computing systems. For more information, visit qscience.org. Major Duties/Responsibilities: Lead and contribute to collaborative research projects involving
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industrial imaging data. You will directly contribute to developing and deploying algorithms for multi-modal tomography (X-ray, neutron, and electron), advancing methods for non-destructive evaluation (NDE