316 process-engineering-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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Qualifications: Ph.D. in robotics, mechanical engineering, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in Nuclear Engineering, Mechanical Engineering, Thermal-Mechanics
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for the systems within the Facilities and Operations (F&O) Directorate. This position resides in the Reliability Engineering Team in the Infrastructure Reliability Group in the Integrated Operations
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/Responsibilities Perform particle tracking simulations and computational analyses to support the design, optimization, and interpretation of advanced engineering and scientific research Develop and
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design, complex data analysis, technology and process development, and effective communication of findings through reports and presentations. Lead advanced research by applying scientific principles
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), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As part of our team, you will study complex materials, form engineering solutions, and develop new techniques to study
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closely with leading researchers in other S&T areas at the lab such as nuclear and chemical sciences and engineering, nuclear fuel cycle and reactor systems, modern nuclear instrumentation and controls
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Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). This team supports the ORNL’s goals through robust systems engineering, integration, and support tailored specifically
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experience in nuclear, mechanical, or chemical engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming
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processors (CPUs/GPUs), custom accelerators, and next-generation quantum and analog devices . Your work will contribute to a vision of autonomous system engineering in which AI agents understand