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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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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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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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full-time basis. Must be a science, technology, engineering, or mathematics (STEM) teacher during the 2024-2025 academic year. Must plan to continue as a science, technology, engineering, or mathematics
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full-time basis. Must be a science, technology, engineering, or mathematics (STEM) teacher during the 2024-2025 academic year. Must plan to continue as a science, technology, engineering, or mathematics
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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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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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received within the past five years. Strongly preferred skills: Experience with mathematical modeling of biological systems Experience with population modeling, disease modeling, or similar ecological
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Sciences (14 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics (10 ) Other Non-Science & Engineering (2 ) Physics (16 ) Science & Engineering-related (1 ) Social and Behavioral