27 computer-science-intern "https:" "https:" "https:" "https:" "UCL" research jobs at Iowa State University in United States
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(ISMaRT, https://sites.google.com/view/ismart-iastate ). A complete application will consist of a cover letter, a current CV, a research statement, a teaching statement, and three references. All
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or Veterinary field Department/Program & College Description: Our research goal is to investigate the cellular and molecular mechanisms of disease modification in experimental models of epilepsy and
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qualitative methods (interviewing, observing, coding Demonstrated skill with organization and program/project management and oversight Department Unit/Website: School of Education website: https
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support to faculty in teaching courses. Minor activities related to lab and resources management. Required Minimum Qualifications: PhD in Plant Sciences, Agronomy, Pathology, Entomology, Crop Science, or
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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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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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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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on prevention science, family well-being, and intervention research. The Postdoctoral Research Associate will contribute to ongoing research projects examining individual, relational, and community-level factors
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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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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