259 computer-programmer-"https:"-"FEMTO-ST"-"https:" positions at Oak Ridge National Laboratory
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technical customer engagements, including High Performance Computing, Cloud Computing, DevOps practices and Software Development. Collaborate with experts to anticipate and plan for emerging IT services
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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testing program. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf
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participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. Visa Sponsorship: Visa sponsorship is not available for this position
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computing framework. Preferred Qualifications: Experience working with spatio-temporal datasets and remote sensing imagery. Knowledge of distributed computing, quality control and assessment of satellite
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, 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 field of stable isotope
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testing program. Visa sponsorship: Visa sponsorship is not available for this position. Security, Credentialing, and Eligibility Requirements: This position requires the ability to obtain and maintain
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of evaluated, best-value procurements, and subcontract closeout. This position resides in the Contracts Division in the Business Services Directorate, in support of the Computing and Computational Sciences
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testing program. In addition, due to the SCI, you may also be subject to random polygraph testing. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory
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Engineering, Physics, or related field. Requires broad knowledge of the NSDD program. Demonstrated ability to work with cross-discipline teams to develop and implement technical solutions. Demonstrated ability