47 learning "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Northeastern University
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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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integration, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We
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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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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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learning/AI, and science of science, as well as quantifying art. The BarabásiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease
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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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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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Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the
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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