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assessments, and promoting a positive safety culture in the laboratory and pilot facilities. 9. Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 13 hours ago
-pressure reactor design, safety protocols, instrumentation, and pressurization systems to examine real world, industrially relevant problems in geological hydrogen; and (2) learn the application
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conferences, workshops, and/or research stays. Teach and mentor students, particularly in disability-affirmative methodologies. Contribute to the development of the section Arts, Physical Education and Sports
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
, projects, and activities at the Department. Fellows will receive hands-on experience that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep
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Engineering Department at The Pennsylvania State University. This position involves the development and application of numerical analysis approaches using Machine Learning based multi-physics tools
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
and experimental, in the broad field of nonlinear mechanics. Preference will be given to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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like TensorFlow or PyTorch. Strong publication record in top-tier, peer-reviewed journals and conferences. Experience with deep learning applications in the context of wireless communication systems