203 machine-learning-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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Office of Science and DOENNSA Experience in the machine design, fabrication, or operation of complex process related systems including vacuum, electrical, HVAC, structural, process, etc. Demonstration
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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tolerancing (ASME Y14.5) Programming ability Experience with laser trackers, coordinate measurement machines, laser scanners, optical tooling, and conventional metrology tools Experience with precision
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Demonstrated experience with low-background detectors, cryogenic liquid scintillators, plastic scintillators, additive manufacturing, and/or Ge detector technology Advanced computer programming experience
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for every task, and never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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or experience working with emerging technologies and evaluating technical activities within the context of U.S. export control and related regulations. Ability to learn and apply complex regulatory requirements
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Requisition Id 16231 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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where learning never stops. Continually seek ways to increase operational efficiencies and improve safety culture in support of the research mission and champion initiatives to do so. Deliver ORNL’s
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. The successful candidate will have good oral communication and technical writing skills and will be proficient with common computer software used in the office environment. Have a strong sense of customer service
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Qualifications: Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application Strong