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organic chemistry, including designing and synthesizing small-molecule probes. Experience with advanced data analysis methods or computational modeling. Prior experience in supervising or mentoring junior
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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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Description Your responsibilities will include effectively communicating with a team of researchers in academia and industry, designing and implementing optogenetics experiments in rodents, analyzing data, and
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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
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that required good communication skills, as evidenced in cover letter and other application materials. Contact Information to Applicants Qunfei Zhou (qunfei.zhou@ku.edu) Additional Candidate Instruction In
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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candidates motivated to work on archival or new data from Kepler, TESS, Roman, PLATO, and/or other novel facilities. Job Description Conduct research in transiting planet detection and characterization, in
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’ habitable zones). Of particular interest are those candidates motivated to work on archival or new data from Kepler, TESS, Roman, PLATO, and/or other novel facilities. Job Description Conduct research in
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detector operations, data analysis, event simulation, and publication of research results. Job Description Conduct research in experimental nuclear physics with members of the University of Kansas CMS