53 postdoc-computational-fluid-dynamics Postdoctoral research jobs at Northeastern University
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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postdoctoral research associate in the field of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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to detail · Proactive, and able to work collaboratively as part of a dynamic, diverse, and growing team Application Materials If interested in the position, please provide a CV, contact of three references
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of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform
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, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research
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the start date) in communication, public health, health promotion, or related social and behavioral sciences field. Candidates with interest in computational health communication, AI and health messaging
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microfluidics channels experimentally. The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application
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diseases. Example projects include assessing drivers of global infectious disease dynamics and developing short- and long-term forecasts for those diseases, with a focus on arboviral diseases (e.g., dengue