156 machine-"https:"-"https:"-"https:"-"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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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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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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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
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Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML
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to DOE sponsors, industrial partners, and international collaborators. Basic Qualifications: PhD in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. A
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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred
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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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technical leadership in AI security evaluation mechanisms. Required Qualifications Master’s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience