222 structural-engineering-"https:"-"https:" positions at Oak Ridge National Laboratory
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considered. Must have a minimum of five years of journeyman-level experience in the electrical and/or electronic disciplines. Working knowledge of engineering drawings and electrical drawings and electronic
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Requisition Id 15556 Overview: The Plasma Enrichment Deployment and Engineering Group in the Plasma Enrichment Science and Engineering Section (PESE) is seeking an Operations Planning Lead who will
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the Nuclear Measurements and Analytical Services Group. ORNL is a world leader in advanced science and technology research involving several nonreactor nuclear facilities, accelerators, and the High Flux
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engineering, architecture, architectural engineering, or related field completed within the last five years. Experience in building energy modeling and analysis. Deep understanding of building thermal physics
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Requisition Id 15424 Overview: The Stable Isotope Materials and Chemistry Group (SIMC) within the Plasma Enrichment Science and Engineering Section is seeking a Stable Isotope Materials Research
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). Provides quality customer service to both internal and external customers. Conducts market research for potential sources of services or supply. Determines appropriate contract type and the structure
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
-state physics, ferroelectrics and/or 2D materials. Strong background in developing and/or applying materials simulation methods, such as atomistic simulations using electronic-structure and/or machine
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Requisition Id 15428 Overview: We are seeking a Senior Electrical CADD Designer who will focus on producing designs, and engineering drawings using computer-aided design (MicroStation/AutoCAD
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. The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) Section of the Computational Sciences and Engineering Division (CSED) is seeking two Postdoctoral Research Associates to join
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supporting new research and engineering using ORNL’s Frontier exascale supercomputer for its dense GPU-based HPC resources to train, deploy models and create large-scale production datasets for high-impact