251 data "https:" "https:" "https:" "https:" "U.S" uni jobs at Oak Ridge National Laboratory
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simulations or for data-driven modeling. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated system dynamic and transient simulations. Develop different
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and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). Working in support of the U.S. Department of Energy’s (DOE) Office of Fusion Energy Sciences (FES), Office
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Requisition Id 16059 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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strength of ORNL which is the U.S. Department of Energy’s largest Office of Science laboratory. ORNL is home to two user facilities in manufacturing – the Manufacturing Demonstration Facility (https
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of risks or blockers and ensure they are documented in the project's risk log for Project Lead’s review and action. Information Management : Maintain organized and accurate project documentation, serving as
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through multidisciplinary research, data analytics, modeling, engineering design, decision support, and visualization. The group develops innovative tools and technologies to enhance the efficiency
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and engineering solutions that strengthen U.S. energy systems, industrial competitiveness, and national security. Through research, applied development, demonstration, and industry partnerships, ESTD
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consisting of the best-of-the-best science teams around the world. NCCS enables these teams to perform science that is just not possible anywhere else. In return, and instead of charging for compute and data
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consisting of the best-of-the-best science teams around the world. NCCS enables these teams to perform science that is just not possible anywhere else. In return, and instead of charging for compute and data
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI