124 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs at Oak Ridge National Laboratory
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Requisition Id 15634 Overview: The Data Analytics and Machine Learning (DAML) Group is seeking an exceptional mathematician to work on the development of rigorous theory and algorithms needed
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generators, protocol analyzer, and power analyzers. Experience with MicroTCA or AdvancedTCA platforms. Background in artificial intelligence (AI) and machine learning (ML) applications. Familiarity with
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algebra, machine learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical
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of manufacturing experience in an R&D and/or a production environment. Excellent written and oral communication skills. Proficiency with standard and advanced equipment, computer systems and software programs
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, RGA’s, etc.). Proven communication skills. A customer service focus and the ability to work within changing situations to meet short deadlines. Demonstrated computer skills and proficiency with
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Ridge National Laboratory (ORNL) is seeking a staff fellow with expertise in machine learning and high performance computing to help develop high-fidelity computational tools that are used for large-scale
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US . Overview: The HRIS Functional Analyst IV serves as a senior subject
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other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https://www.ornl.gov/directorate/isotopes for more information about ISED. Benefits at ORNL: ORNL
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at Oak Ridge National Laboratory (ORNL). The group is responsible for the overall architecture needed to maintain and improve integrated control systems for the SNS machine to ensure safe, high-reliability