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based on two first-of-their-kind NION scanning transmission electron microscopes. In this postdoc position, you will be a member of the Electron Microscopy group and be mentored by scientists at CFN
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. These observations will then be analyzed by the postdoctoral researcher and the project team to (i) create new understanding of the feedbacks among urban infrastructure, waste heat, and extreme heat/weather events
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be overseen by Professor Yimei Zhu and emphasizes strong collaborations within the DOE-EFRC — “Quantum Materials for Energy Efficient for Neuromorphic Computing.” The position is ideal for candidates
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Associates to join the newly DOE-funded Center for Hybrid Approaches in Solar Energy to Liquid Fuels (CHASE), a Fuels from Sunlight Center that will be led by the University of North Carolina at Chapel Hill
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, or a related engineering discipline), conferred within the past five years or to be completed prior to the starting date. You have demonstrated experimental expertise in 2D material heterostructure
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, prior employment, etc.); must be able to obtain and maintain a U.S. Department of Energy Q-level security clearance which requires that you: be a US citizen; have no felony convictions or other serious
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Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong
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) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning-based machine learning and natural language processing. Strong research experience (e.g. evidenced
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competitive compensation. The full salary range for this position is $70200 - $116200 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered