272 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
, assembly, and inspection processes to support multiple enrichment technology programs. The Prototype Manufacturing Group resides in the Enrichment Systems Fabrication and Demonstration Section, Enrichment
-
required after offer. Export control: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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