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The Krishnan Lab works in the broad area of soft condensed matter at the nanometer scale and has a long- standing interest in measuring and understanding the properties and interactions of molecular-scale matter, e.g., biological macromolecules. Recently the group pioneered “molecular...
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/ Center / PI Job Title: Postdoctoral Associate - Analytical Capabilities Office/Location: SUNY Polytechnic Institute The Artificial Intelligence Exploration (AIX) Center at SUNY Polytechnic Institute seeks
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/12/16) Position Description: Apply Position Description Postdoctoral Research Associate in Transportation Systems Modeling & Urban Mobility Analytics Cornell University’s Center for Transportation
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order to meet the research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical
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at improving urban management and citizens’ well-being. Job Description The postdoctoral researcher will contribute to the development of Earth Observation and spatial analytics approaches applied
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. Empa is a research institution of the ETH Domain. Our analytics center offers attractive chemical-analytical services for internal and external clients. In addition, we conduct sophisticated research
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will contribute to the development of Earth Observation and spatial analytics approaches applied to the analysis and monitoring of urban environmental systems. The research will integrate geomatics
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Details Title Postdoctoral Specialist – Health Policy Analytics School Harvard Medical School Department/Area Department of Health Care Policy Position Description Overview: The Department of Health
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Postdoctoral Research Associate in Transportation Systems Modeling & Urban Mobility Analytics Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models