179 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Oak Ridge National Laboratory
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toward integration of hydropower with battery storage and other technologies. Computational and analytical skills : Demonstrated ability in selecting and deploying machine learning tools (Random Forest
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to a general science-interested audience as well as a more scientifically trained audience such as researchers and sponsors. Should also have a firm grasp of standard business computer software (e.g
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Requisition Id 16025 Overview: The Advanced Engineering Technologies (AET) Group is seeking a dedicated individual to support our organization. The position will involve machine design and process
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, GE iFIX/iHistorian, and Visual Basic. Experience with administration of historians, web-based clients, and SQL databases. Experience with virtual machine and thin client technology. Experience with
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(or ability to obtain one) preferred. Preferred Experience Familiarity with AI security, adversarial machine learning, or cyber-physical systems. Experience working with or within federal agencies such as DoD
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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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measurement activities to evaluate the mechanical and thermophysical properties of irradiated materials. Acquire, process, analyze, and report test data in accordance with applicable manuals, procedures, and
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, collaboration, inclusion and continuous learning. Stakeholder Engagement & Partnerships: Serve as the external interface for the center: liaise with sponsors (DOE, other federal agencies, industry, academia
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Ridge National Laboratory (ORNL). This role will focus on the development and implementation of novel robotic construction workflows, human-machine collaboration strategies, and automated manufacturing
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optical systems, thermal imaging, pyrometry, spectroscopy, high speed imaging or acoustic sensing. Familiarity with data analytics, machine learning, or signal processing. Knowledge of metal additive