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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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materials and associated heterostructures, such as those based on 2D transition-metal dichalcogenides (TMDCs), and perform nanofabrication and electrical characterization of 2D heterostructure devices using
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consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability, or any other
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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
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review of past field campaigns, through interactions with project stakeholders) Participate in summer field work Conduct observationally based research into the urban boundary layer using “big data” (e.g
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diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual
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theoretical understanding and practical experience in deep learning-based machine learning. Strong research experience (e.g. evidenced by publication record). Excellent programming skills and in-depth
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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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-based machine learning and natural language processing. Strong research experience (e.g., evidenced by publication record). Excellent programming and computer science skills. Security clearance
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are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity