259 computer-programmer-"https:"-"https:"-"Inserm"-"Inserm" positions at Oak Ridge National Laboratory
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Requisition Id 15618 Overview: We are seeking a Computational Condensed Matter Physicist who will perform state-of-the-art numerical simulations of quantum magnets (i.e., quantum spin systems
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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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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph
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of new and ongoing data programs to position the group for future success. Work closely with data program PIs for identifying and addressing data lifecycle, metadata workflow and other data management
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resources. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner. Ensure compliance program requirements for environmental, safety, health, and
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Requisition Id 15603 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
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Requisition Id 15217 Overview: Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, has an extraordinary 80-year history
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-placement drug test and participation in an ongoing random drug testing program. Hybrid Eligibility: This position is in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment
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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due to the SCI, you may also be subject to random
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and