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industrial processes. This position resides in the Applied Research for Mobility Research Group in the Vehicle and Mobility Systems Research Section, the Buildings and Transportation Science Division (BTSD
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-1000 experiment. Develop new low-background materials, scintillators, and production techniques, including custom synthesis of PEN and clean additive manufacturing processes Integrate AI/ML
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deformation, strengthening, and failure in advanced alloys. The research will focus on integrating microstructure characterization, in situ diffraction techniques, and mechanical testing to uncover processing
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mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major
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the systems, processes, and field execution required to manage a diverse range of industrial, chemical, and radioactive wastes and materials generated by ORNL operations and research in a safe and compliant
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Requisition Id 16263 Overview: We are seeking a group leader who will focus on AI/ML methods/application, image/signal processing, and sensor systems. This position resides in the Multimodal Sensor
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success Basic Qualifications: A PhD in
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completion of the operational activities deemed necessary through the work control process or as requested by researchers to enable research objectives in a manner that ensures the safe and compliant execution
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connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution to post-process characterization
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version