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in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
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Requisition Id 17001 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain
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or applying AI/ML approaches to Earth, environmental, ecological, hydrological, or geospatial problems. Experience with programming in Python, GEE, or R, and working with modern scientific computing and/or AI
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divisions and directorates with researchers and engineers to execute excising NNSA programs. Prepare and present periodic reports documenting research and development activities. Ensure compliance with
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with quantum and classical programming languages and scientific computing. Preferred Qualifications: We welcome candidates with strengths in several of the following areas; no single candidate is
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ecological, hydrological, and geomorphological responses to abrupt disturbance. A cohort of postdoctoral researchers will be hired across multiple institutions to collaboratively support scientific advances
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their area, interact with ORNL staff, industry, and academic partners. This position resides in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy
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an ongoing random drug testing program. Visa sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has