271 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "U.S" positions at Oak Ridge National Laboratory in United States
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those skills to a variety of problems, and the ability to determine and understand the broader context of his or her research. Preferred Qualifications: Proficiency in multiple modern coding languages is
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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on-premises and in the cloud. Work with researchers and developers to configure complex pipelines to streamline multiple code repositories for automated deployments/upgrades, and work with others across
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Training Program. Major Duties/Responsibilities: Support the design, modification, and documentation of reactor structures, systems, and components. Apply relevant codes and standards, such as DOE Orders
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U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000
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initiatives to support Laboratory operations. The QR will support the development and implementation of quality requirements supporting the ORNL Isotope Program including IS0-9001 and the U.S Department
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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Requisition Id 15598 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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variety of projects involving internal and external dosimetry and radiation risk analysis. The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
familiarity with AI/ML algorithms, for generative materials design, or for knowledge extraction, e.g. causal ML or symbolic regression, etc. Strong demonstrated background in coding for data analysis using