41 computer-science-intern "https:" "https:" "https:" "https:" "P" Postdoctoral positions at Northeastern University in United States
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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in the field of network science, with applications to nutrition, biological networks, network medicine, and the science of science. The position involves developing and applying computational
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management, graduate student training/advising, and co-op/intern student mentoring Qualifications: The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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letters of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven