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-efficient machine learning framework that leverages graph grammar to inverse-design polymers with tailored thermal and mechanical properties. By interpreting molecules as graph networks, they will train a
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, such as hyperdimensional computing Keywords: robot control, artificial intelligence, machine perception, human-robot interaction, statistical computing, deep learning, SLAM, information theory, edge
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in a laboratory General computer skills to include making presentations and analyzing data in spreadsheets or statistical/graphing software Application Requirements A complete application consists of
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family, and quality of life issues. Knowledge of social services delivery systems concepts, principles, and theories relating to one or more of the social behavioral science fields Understanding the nature
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results details of experiments for publication in scientific journals or presentation to scientific conferences Participating in the development of figures, tables, and graphs. Where will I be located
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theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing
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along the United States Mid-Atlantic and Northeast Atlantic Coast. Learning Objectives: The selected mentee will learn the theory behind and techniques to examine the resilience of tidal wetlands and
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Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's
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theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing
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experimental physics, wave propagation theory, atmospheric science, signal processing, information theory, inverse theory, and mathematical, numerical, and computational modeling. Interested candidates should