232 application-programming-android-"Prof" positions at Oak Ridge National Laboratory
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detailed and accurate records. Ensure compliance with environmental, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics
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particles (e.g., TRISO architecture) and other novel fuel types for a range of applications. Scientific output will be a primary emphasis throughout these activities. The selected individual will function as
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Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email
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the division’s Gas Centrifuge Quality Assurance Program Plan, Standards-Based Management System (SBMS), and applicable internal operating procedures (IOPs). Ensure work is carried out safely, securely, and in
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, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation
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-edge statistical and mathematical methods to solve complex spatio-temporal problems at scale, supporting operational decision-making under uncertainty. Our mission spans diverse applications in national
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two critical areas: advancing enrichment technologies and exploring stable isotope production and applications. The division leverages an elite staff of scientists and engineers with the world-leading
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Division (RRD) at Oak Ridge National Lab (ORNL). The Instrumentation and Control Software Engineering Group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. This
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, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system
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-destructive testing, machine or process monitoring, or similar applications of algorithmic tools. Demonstrated expertise in the adoption of modern machine learning tools for time series analysis Preferred