20 natural-language-processing Postdoctoral research jobs at Northeastern University in United States
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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to, Simulations Plus, Phoenix (e.g., IVIVC toolkit) and Simcyp. Understanding of in vitro release and bioequivalence assessment principles and strategies. Hands-on proficiency in cell culture, tissue processing and
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researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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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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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