19 data "https:" "https:" "https:" "https:" "UNIVERSITY OF RIJEKA" Postdoctoral research jobs at University of Kansas
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31898BR Kansas Geological Survey Position Overview The postdoctoral researcher will analyze and interpret Airborne Electromagnetic (AEM) Survey Data collected as part of multiple surveys performed
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at https://nsfepscor.ku.edu/arise-researchers/ . Additional information on KU’s Department of Civil, Environmental and Architectural Engineering is found at http://ceae.ku.edu . The University of Kansas
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the online experimental data 20% - Develop and implement field experiments 15% - Manage and statistically analyze the field experimental data 15% - Design and conduct interviews with HVAC technicians 10
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the online experimental data 20% - Develop and implement field experiments 15% - Manage and statistically analyze the field experimental data 15% - Design and conduct interviews with HVAC technicians 10
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responsibilities will include effectively communicating with a team of researchers in academia and industry, designing and implementing optogenetics experiments in rodents, analyzing data, and communicating project
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in both oral and written English is essential. Research experience with single-molecule methods, FRET, cryoEM, microfabrication, and/or data analytics is strongly preferred but not mandatory. Job
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statistically analyze the online experimental data 20% - Develop and implement field experiments 15% - Manage and statistically analyze the field experimental data 15% - Design and conduct interviews with HVAC
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designing and synthesizing small-molecule probes. Experience with advanced data analysis methods or computational modeling. Prior experience in supervising or mentoring junior researchers. Contact Information
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responsibilities will include effectively communicating with a team of researchers in academia and industry, designing and implementing optogenetics experiments in rodents, analyzing data, and communicating project
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candidates with backgrounds in driver behavior modeling, driving simulation, connected and automated vehicles, spatial data analysis, or transportation safety are particularly encouraged to apply