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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design and install image-based and other sensing systems Develop data acquisition software for sensing systems Maintain and upgrade
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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design and install image-based and other sensing systems Develop data acquisition software for sensing systems Maintain and upgrade
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research. Your work will focus on developing selective chelation strategies and applying these systems to targeted radionuclide therapy and cancer imaging. Research accomplishments will be disseminated
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application solutions. Research activities include the design of efficient image preprocessing pipelines, machine learning workflows using high performance computing techniques, and conducting post-processing
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telemetry usable at scale. Drive the technical roadmap, release process, and architecture of the software. Multi-Institutional Project and Technical Leadership: Serve as ORNL's technical lead for cross
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research concepts from exploratory prototype to delivered system. Create, test, and maintain software elements of these systems. Support modelling and simulation activities to exercise software elements
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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guidance from senior technical staff. Assist efforts to improve additive manufacturing process efficiency, system integration, process development, throughput, reliability, and energy efficiency on MDF
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and service meshes that expose OLCF computing resources to diverse scientific workflows and external facilities. Define API specifications, manage versioning, and guide systems from prototype through
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and translate methods