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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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About the Opportunity Job Summary: The Lopez Group at Northeastern University is seeking a postdoctoral researcher with experience in machine learning and organic chemistry to join a collaborative
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educational media content in support of the teaching and learning goals of our digital learning products. EDGE drives Northeastern’s growth goals and digital strategy broadly by serving two functions: 1
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and
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Big Picture Learning Credential (IBPLC) as a rigorous, equitable pathway into college admissions. The project — a partnership between Northeastern, Big Picture Learning U.S. (BPL U.S.), Big Picture
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Associate to lead the research operations of The Future of Higher Education and Work at Northeastern University: Personalized Learning for Students and Customized Career Preparation , a study funded by
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms and
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(e.g., learning, emotion, or motivational processes). Applicants can explore basic characterization of adolescence and/or translational questions related to clinical risk and resilience factors. Though
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PhD in Physics or an adjacent field, such as Mathematics, completed by the start of the appointment Knowledge of High Energy Theory and Machine Learning, as usually acquired through a PhD in Physics or
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structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and