50 computer-science-data-wahrn-hous Postdoctoral positions at Northeastern University in United-States
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student mentoring Qualifications: The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing, information or data science, or psychology by the appointment
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procedures. This project will take place alongside ongoing research at the intersection of complex systems and data science. Research in the &-Lab is interdisciplinary and highly collaborative, and we work
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Aug-25 Location: Burlington, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable research techniques. ● Some background in environmental or ecological sciences. ● Demonstrated
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
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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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and written communication skills. -Attention to detail and training in research methodology and quantitative data analysis. -Recent or upcoming Ph.D., or equivalent degree, in Cell Biology, Molecular
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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 science
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious