244 data-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Oak Ridge National Laboratory in United States
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organizations. Champion the development of actionable recommendations from a set of possibilities and synthesize findings well. Coordinate and support the annual report data calls in communicating the performance
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into compelling multimedia and executive-ready formats. The Computing and Computational Sciences Directorate advances high-performance computing, artificial intelligence, data science, quantum computing, and
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accordance with ORNL and DOE requirements. Complete HSPD-12/PIV (UPIV) credential enrollment, activation, and issuance processes. Capture biometric data (photographs, fingerprints) as required
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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, security and data integrity across compute and storage systems Lead operating system and third-party software maintenance efforts, balancing security requirements with research uptime Design and implement
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on identifying mechanisms through which energy generation, infrastructure, and operations influence ecosystem structure, function, and services. Using integrative modeling, data synthesis, and systems analysis
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media content across relevant platforms; monitor performance metrics and use data-driven insights to refine content strategy and improve engagement. Serve as the primary point of contact for BESSD digital
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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Laboratory. Major Duties/Responsibilities: Develop and implement advanced time-frequency and spectral analysis techniques for high-frequency voltage/current waveform data Apply wireless PHY-layer concepts
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Requisition Id 15882 Overview: We are seeking a Research Staff Scientist to advance our fundamental understanding in 2D materials, thin films, and hybrid nanostructures for quantum information