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Field
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performance in intelligent networked systems. The appointee is expected to make significant contributions to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 7 hours ago
is grammatically correct and clearly expressed. Consider using a word processor to draft your answers and then copy and paste into the application. Review and edit repeatedly until you have a strong
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of fundamental and applied research, to benefit from close interactions with experts across multiple disciplines, and to contribute to innovations that can have a tangible impact on sustainable biomanufacturing
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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The research topic is in the area of Robotics and Artificial Intelligence. More
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of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description You will be working in the field of robotics and artificial intelligence. More
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deadlines, and adapt to ever changing needs. Excellent verbal, presentation, and writing skills are required to enable effective interaction and communication with technical peers, program managers, and
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their area, interact with ORNL staff, industry, and academic partners. This position resides in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy