340 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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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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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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experience working with DOE projects within the Office of Science portfolio. Experience managing/working with projects using the following software/system: Oracle Primavera. A solid understanding of best
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Requisition Id 16114 Overview: We are seeking a Senior Electrical, Instrumentation and Controls Engineer to join the Systems Engineering (SE), Design and Fabrication Group within the Research
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Requisition Id 16081 Overview: We are seeking an Electrical CADD Designer III who will focus on producing designs, and engineering drawings using computer-aided design (MicroStation/AutoCAD
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analysis for on-site vendor visits. Expedite acquisition activities to meet engineering, equipment upgrade and maintenance schedules by coordinating with systems engineering, maintenance, and operations
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systems. A high school diploma may be considered with additional relevant experience. Experience using 3D CAD modeling package. Knowledge of the technical concepts of drafting and engineering principles
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Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative
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seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver