232 engineering-computation-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Oak Ridge National Laboratory
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Requisition Id 15805 Overview: Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program. The program is 4-6 months
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the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD), at ORNL. Materials for extreme operating environments is among ORNL’s signature research capabilities. MSTD conducts
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scientists, engineers, and facility operators to integrate AI seamlessly into experimental and computational pipelines. Demonstrate the effectiveness of dynamic workflows in representative use cases such as
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statement from the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: PhD in physics, computer science, engineering, or a related field with at
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a broad spectrum of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery
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. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities for professional growth
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. Preferred Qualifications: Education or experience that includes a technical field such as engineering, chemistry, physics, computational sciences, or a technical degree is helpful. An advanced degree and
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laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering
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through cutting-edge science and engineering. The laboratory's mission includes the High-flux Isotope Reactor which supports isotope production, neutron scattering experiments, and irradiation studies
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.) to enable real-time process monitoring of the Directed Energy Deposition (DED) printing process. A background in sensors, instrumentation, and data analytics is preferred. Strong communication and program