44 computer-science-data-wahrn-hous Postdoctoral positions at Northeastern University
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Aug-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
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well as helping with general daily laboratory upkeep tasks. The position involves a substantial amount of mouse work as well as mammalian cell culture, general biochemistry and molecular biology techniques, flow
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, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic
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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
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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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About the Opportunity The Department of Pharmaceutical Sciences within the Bouve College of Health Sciences, Northeastern University, is seeking one Postdoctoral Research Associate. The Post
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Science and Center for Cognitive and Brain Health at Northeastern University. Applicants are invited to apply for a position to work on research projects focusing on the role of physical activity
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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