155 machine-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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Qualifications: BS in a science, engineering, business administration or industrial-organization psychology with a minimum of two years experience. Possess an advanced level of knowledge in office computer systems
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Engineering, or other field relevant to the job duties. Competency in Python and C++ programming. A commitment to lifelong learning. Minimum of 5 years of experience relevant to the job duties listed Preferred
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, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
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Requisition Id 17081 Overview: We are seeking a Beam Instrumentation Physicist to support the design, development, implementation, and maintenance of beam instrumentation computer systems
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of advanced manufacturing systems - including powder bed, directed energy deposition, machining, polymer, and convergent manufacturing systems – used to produce critical components from advanced
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export control laws and regulations. Identify high risk property, including items that are proliferation-sensitive, export controlled, military/weapons related, or specially designed or prepared
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, artificial intelligence, or machine and reinforcement learning applications for power systems. Experience contributing to successful research proposals and sponsored R&D programs. Demonstrated ability
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support research staff within ADADS and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including the characterization of nuclear material
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring