441 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Oak Ridge National Laboratory
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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 testing. About ORNL: As a U.S. Department
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& Labs section develops and deploys leading sample environment capabilities and laboratory support for the neutron scattering user program. The section consists of seven groups: High Pressure, High
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independently, plan and arrange own work, and coordinate with management to prioritize projects. Preferred Qualifications: BS degree in data science, computer science, geospatial science, remote sensing
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research programs within the Biological and Environmental Systems Science Directorate (BESSD). This position resides within the Communications and Community Engagement Directorate. BESSD advances scientific
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challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee
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Requisition Id 16634 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Project Specialist to support the Defense Manufacturing Program Office (DMPO) within the National Security Sciences
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pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and
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on program needs. Basic Qualifications: BS degree in computer science, computer engineering, information systems or a related field, and 5 years of relevant professional experience (or an equivalent
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with ORNL research organizations to enable research excellence and delivery. We work with other clustered computing and HPC groups to help research programs identify the best solutions for their needs
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or applying AI/ML approaches to Earth, environmental, ecological, hydrological, or geospatial problems. Experience with programming in Python, GEE, or R, and working with modern scientific computing and/or AI