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quality single crystals of quantum materials and study them with transport and advanced electron microscopic methods. These experiments will be integrated in a dynamic team environment, including
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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materials. Because of the sophistication of the instrumentation and the uniqueness of the instrument, you are expected to demonstrate your strong expertise, particularly through practical experience in
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microscopy, planned experiments will include atomic-scale imaging, high energy-resolution electron energy-loss spectroscopy (EELS), 4D scanning transmission electron microscopy (STEM), and cryogenic microscopy
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mathematics, statistics) awarded within 5 years. Strong theoretical understanding and practical experience in machine learning, foundation models, and computer vision. Strong publication record in machine
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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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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. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning