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Field
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning
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along with experience in applying Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems
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, operation, control, and security. Required Knowledge, Skills, and Abilities: A PhD. with a broad knowledge of electric power systems. Demonstrated background in artificial intelligence (AI)/machine learning
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
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NASA LAS director. Candidates must have a PhD in a related field. Four years professional experience in machine learning is preferred. FAA Part 107 and/or Part 61 piloting certifications are encouraged
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networks, brain functions, or molecular shapes. For more information, contact [email protected] . Position Requirements PhD in Computational Neuroscience, Machine Learning, Computer Science, Physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of History including offering public talks that capture the significance of the fellow’s research to the larger civilian and military communities. 6. If desired, teach one history class per calendar year. 7
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to editorial staff or journal for timely publication, composes and presents research at conferences; directs research personnel. Minimum Education/Experience Requirements: PhD or MD/PhD required; Considerable
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experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning
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as it relates to behavior and disease Position Status Full Time Posting Number 24FA0621 Posting Open Date 06/06/2024 Posting Close Date 06/06/2025 Qualifications Minimum Education and Experience PhD in