315 application-forms-"https:"-"https:"-"https:"-"J.-F" positions at Oak Ridge National Laboratory
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Programming experience in scientific computing environments Preferred Qualifications: Experience developing Finite Element Method or CFD models for composite manufacturing applications Knowledge of machine
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. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top
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. Valid Tennessee driver’s license. Preferred Qualifications: Class A commercial driver’s license (CDL). Thorough knowledge of load handling equipment commonly used in hoisting and rigging applications
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have been incorporated in the processes. Lead and support operational performance assessments as needed. Perform data analysis for process improvement initiatives. Utilize a variety of lean process
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, proctor examinations, implement practical exercises, and conduct associated administrative duties related to course delivery in accordance with the Systematic Approach to Training (SAT) and the Standards
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Requisition Id 16074 Overview: We are currently seeking qualified applicants with Information Systems Security Officer (ISSO) experience to support the Field Intelligence Operations Division’s
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Requisition Id 16116 Overview: The Laboratory Modernization Division (LMD) at Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for the position of Construction Field
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. Provide updates to management on repayment status. Track and monitor repayments of prior years’ income and prepare and file IRS Forms 941-X as required. Prepare and submit annual payroll reports to DOE
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications. Our Group: MMF is a computational multiphysics