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University Tandon School of Engineering The Hydrologic Systems Group within the Center for Connected Cities for Smart Mobility towards Accessible and Resilient Transportation (C2SMART) at NYU Tandon School
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infrastructure through new process technology development. This position will involve reaction engineering efforts to enable facile biomass fractionation processes, ideally in existing or retrofitted kraft pulping
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, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections working at Rutgers University More Jobs from This Employer https://main.hercjobs.org
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in neuroscience and/or cell biology, biomedical engineering or computer science, highly preferred. Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking
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the process of completing their Ph.D. or M.D. degree. Documentation of Ph.D. or M.D. degree completion must be provided prior to commencement of employment. City: New Brunswick State: NJ Physical Demands and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
9-channel multi-angle polarimeter. The combined capabilities from these two instruments will provide unprecedented characterization of aerosol optical and physical properties, and their vertical
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University Tandon School of Engineering The Chemical & Biomolecular Engineering Department at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work in the labs of the Hubbell
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
the technology. The candidate will collaborate with industry and national labs to meet the milestones. Education and Experience: The candidates should have solid academic background in inorganic chemistry
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, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences disciplines, and a solid publication record. We seek faculty
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with experimentalists to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers