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. Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one
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of division leadership based on education, training, and experience. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and
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Section, Nuclear Energy and Fuel Cycle Division at ORNL is seeking candidates to apply for the computational nuclear engineer role. This role is responsible for the development and implementation of methods
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of the network enclaves. Provide coordination, notification, escalation and documentation to resolve events/issues, efficiently minimizing customer impact. Interface with and provide outage reports to various
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in urban-scale building energy modeling, software development (esp. Python), or Artificial Intelligence/Machine Learning (AI/ML) Strong ideation, writing, and communication skills for establishing
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National Laboratory). Knowledge of technical issues, research activities and the impact of facility conditions and changes on tenant activities Experience developing corporate level policies and strategies
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improvements, tool adoption, cross-functional collaboration, or any new ways to better serve our program’s mission. This position resides in the Research Application Development in the Secure and Digital
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being proficient developing sophisticated software systems, like an operating system, compiler, adaptive runtime system, or scalable performance tool. Studying the performance, resiliency, power, and
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provide competitive compensation, comprehensive benefits, professional development opportunities, and the chance to make a meaningful impact on some of the world's most important scientific challenges. ORNL
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intelligence, and architecture-aware algorithms that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address