364 computing-"https:"-"IDAEA-CSIC"-"https:" positions at Oak Ridge National Laboratory
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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Qualifications: A BS/BA degree in GIS, geography, environmental science, environmental informatics, computer science, engineering, natural sciences, or a related field. Minimum 5 years of relevant GIS experience
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, work together, and measure success. Basic Qualifications: A PhD in an Engineering discipline, Computer Science, or a related field At least two years of relevant experience Expertise in systems dynamics
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instructional design. Experience leading multi-course curricula or program-level instructional design projects within scientific, technical, or regulatory environments (DOE, DOD, or similar). Proficiency in
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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Requisition Id 16882 Overview: We are seeking a Section Head who provides leadership for the High Flux Isotope Reactor (HFIR) Maintenance organization and is responsible for the Maintenance Program
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Requisition Id 16863 Overview: Within the NND, the Incident Modeling and Computational Sciences (IMCS) group focuses on modeling, analytics, and software development for nuclear incidents, such as