325 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions at Oak Ridge National Laboratory
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culture. Preferred Qualifications: Demonstrated experience engaging with U.S. Department of Energy (DOE) program offices and aligning work with their strategic priorities. Motivated self-starter with
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, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a
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and engineering solutions that strengthen U.S. energy systems, industrial competitiveness, and national security. Through research, applied development, demonstration, and industry partnerships, ESTD
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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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response process to investigate and fix operational issues from bare metal through the OS to the storage system software and/or application code. Provide guidance, training, and self-service tools to assist
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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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considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and
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to national security. This position resides in the National Security Program Office, Intelligence and Special Programs, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As a U.S
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and development. Address in a timely manner all concerns expressed by staff and any disciplinary actions. Lead by example, using the principles in ORNL’s “Research Code of Conduct” as a guide for