354 engineering-computation "https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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group of scientists, engineers, and technicians on challenging, fast-paced technical projects and operations in support of the DOE Isotope Program and specifically associated with the rapidly growing
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to effectively measure and assess overall program performance. Serve as a resource for ORNL research staff and research administration on technology transfer and commercialization partnering mechanisms. Provide
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a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80
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plant systems in the HFIR System Engineering Program in accordance with DOE O 420.1 for the hazard category 1 nuclear facility and shall be qualified as a HFIR System Engineer in the RRD Training Program
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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Requisition Id 16024 Overview: The Advanced Engineering Technologies (AET) Group is seeking a dedicated an Electrical, Instrumentation, and Controls Engineer to support our organization
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Requisition Id 15751 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position
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Requisition Id 15935 Overview The Biosciences Division at Oak Ridge National Laboratory seeks a Technical Professional to support computational biology research within the Plant-Microbe Interfaces
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/Responsibilities: Provide engineering support for Cooling Systems equipment and projects. Perform hydraulic analysis using computational fluid dynamics (CFD) software to understand performance limitations in
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict