20 natural-language-processing-intern Postdoctoral positions at Northeastern University
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/Administrative Internal Number: 6140641 Postdoctoral Research Associate About the Opportunity Job Summary The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a
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/Administrative Internal Number: 6140629 Postdoctoral Research Associate About the Opportunity Summary: Professor Tang is hiring a Postdoctoral Research Associate to work in her laboratory. The selected candidate
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of researchers (including social epidemiologists, other epidemiologists and data scientists, and policy researchers) and will be involved in all aspects of the research process. Opportunities will include
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findings to diverse partners (e.g., the public, scientists, or public health officials). The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be
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Details Posted: 19-Feb-25 Location: Boston, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff/Administrative Internal Number: 6014241 Postdoctoral Research
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About the Opportunity We are seeking a creative scientist with a background in natural products and/or microbiology to work on an antibiotic discovery project. The successful applicant will join a
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About the Opportunity ABOUT THE OPPORTUNITY The Di Pierro Lab is focused primarily on physical genetics. We are broadly interested in the physical processes involved in the translation of genetic
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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Solenoid (CMS) experiment at CERN. The position will be based at CERN. The Northeastern CMS group has leading involvements in the operation and upgrades of the endcap muon system, the electromagnetic
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy