17 computer-engineering-"https:"-"https:"-"https:"-"Deutsches-Elektronen-Synchrotron-DESY" Postdoctoral positions at Iowa State University
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Qualifications: Ph.D. in Aerospace Engineering, Mechanical Engineering, Materials Science and Engineering, Chemistry, or a closely related field. Preferred Qualifications: Strong background in computational
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problems. Department/Program & College Description: In 1913, Iowa State University was among the first to offer a degree in what was then a new discipline – chemical engineering. Since those early beginnings
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verbal communication skills. Department/Program & College Description: The Department of Civil, Construction, and Environmental Engineering is dedicated to creating resilient buildings and bridges, safer
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characterization. Experience performing physical‑chemical analyses and electrochemical measurements. Experience in manufacturing and processing polymer films from a variety of polymer sources. Department/Program
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collective success. The Division of Materials Science and Engineering with Iowa State University at the Ames National Laboratory is searching for a qualified Postdoctoral Research Associate. The successful
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Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials, synthesis, and additive manufacturing. Ames Laboratory is the leader
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broader program activities. Required Minimum Qualifications: Ph.D. in experimental Material Science, Condensed Matter Physics, Chemistry or closely-related disciplines. Preferred Qualifications: Experience
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analysis, and propensity score methods Demonstrated ability to translate quantitative findings for both academic and non-academic audiences Department/Program & College Description: The Department of Human
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media content, contributing to the quarterly newsletter, supporting alumni communications, and helping prepare research briefs and program materials. The successful candidate will demonstrate strong
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Postdoctoral Researcher in Crop Genetic Resources and Informatics to apply genome informatics and quantitative genetic approaches to trait analysis in specialty (pecan) and field (maize and cotton) crops