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brain organoids. This position requires a high-degree of team work and interdisciplinary activities. What You Will Do: Perform research in machine learning methods based on control theory applied
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techniques, or tight-binding approaches. Proficiency with major simulation packages such as ASE, Quantum ESPRESSO, VASP, CP2K, or LAMMPS, and their Python interfaces. Working knowledge of machine learning
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
scholars, and uniquely supportive learning environment combine for an excellent legal education. The Law School consistently places among the best in the U.S. News and World Report and other law school
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to field research. Experience with machine learning (ML) approaches to analyzing data. experience in student leadership or mentorship roles. Experience supporting the design and implementation of field
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(for more information click here ). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship
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of benefits, resources and programs to help you bring your best self to work, as well as to help you and your family achieve your health, wellness, financial and career goals. Learn more about the
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? Please visit:careers.lbl.gov
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to access Berkeley Lab sites (for more informationclick here ). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation
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thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary