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environment? If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new research professional position in AI
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-impact problems and to shape the future of intelligent manufacturing. Major Duties/Responsibilities: Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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PhD in materials science and engineering, physics, chemistry, or electrical engineering or a related field. Preferred Qualifications: Experience in scanning transmission electron microscopy Background
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treat one another, work together, and measure success. Basic Qualifications: A PhD degree in material science, mechanical engineering, electrical engineering, robotics, or a related field completed within
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-flows. Basic Qualifications: PhD in mathematics, computer science, engineering, or related field earned within the last 5 years. Preferred Qualifications: Experience with mesh generation/CFD applications
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measure success. Basic Qualifications: PhD in nuclear physics or related field. 5 years of experience in a relevant research field beyond PhD. Extensive knowledge in low-energy nuclear physics. Ability
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Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD
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Qualifications: PhD in Mechanical Engineering, Robotics, Electrical Engineering, Civil Engineering, Construction Engineering, Manufacturing Engineering, or a related discipline. A minimum of 1 year of postdoctoral
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Candidates must have a MS degree or PhD in Nuclear engineering, computer
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considered. Masters and PhD degree holders in the same fields of study are also encouraged to apply: Masters’ holders should have a minimum of seven (7) to ten (10) years of relevant and aligned experience