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focused on fisheries and data science to support research on the interactions between energy infrastructure, especially hydropower systems, and aquatic ecosystems. This position focuses on applying advanced
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. We work on some of the most
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supporting the management and oversight of the ORNL classification program and the classification of scientific, technical, and other information as well as provide Unclassified Controlled Nuclear Information
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risk analysis. Computational dosimetry using stylized, voxel and mesh-type anthropomorphic phantoms Compilation and evaluation of radionuclide decay data and the construction of environmental source
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contribute and succeed. Basic Qualifications PhD in data science, mathematics, physics, or engineering with a minimum of 8 years of relevant experience, or MS in these areas with a minimum of 12 years
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing