38 postdoc-computational-fluid-dynamics-2017 Postdoctoral positions at Oak Ridge National Laboratory
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, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The qualified candidate will study, simulate and develop software for beam transport and beam dynamics in SNS superconducting linac
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: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length
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the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL
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, health, and quality program requirements. Maintain a strong commitment to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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. Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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intelligence techniques for scientific workflows deployed across heterogeneous computing resources. As a postdoctoral fellow at ORNL, you will join a dynamic team of researchers specializing in workflow
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Requisition Id 15305 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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Earth scientists, geospatial experts, and computational scientists to leverage leadership-class computing resources for large-scale model training, testing, and deployment. Knowledge Dissemination