340 systems-science-"https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at Oak Ridge National Laboratory
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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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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 16150 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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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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in biostatistics, epidemiology, data science, health informatics, applied mathematics, statistics, systems engineering, or related fields. Experience with Power BI, Tableau, or similar business
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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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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. This position requires access to technology that is subject to export
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the electron Microscopy and Microanalysis (e-MMÅ) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge National
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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