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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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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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About the Opportunity Postdoctoral Research Associate – Computational Glycobiology and Innate Immunity COMBINE Lab, Department of Bioengineering, Northeastern University Principal Investigator: Dr
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as
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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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About the Opportunity Performs basic or applied research of varying scope and complexity. Assists in the planning, interpretation, and publication of research results and grants. Ensures the laboratory is maintained and may exercise functional supervision over supporting research staff. May be...
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-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions
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, advanced computational and statistical competencies, project management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and
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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