248 computer-"https:"-"https:"-"https:"-"https:"-"Johannes-Kepler-University" positions at Iowa State University
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or equivalent combination of education and experience Preferred Qualifications: MS or PhD in a related field (including Computer Science, Statistics, Applied Math, Physics, Chemistry, or Engineering
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, research, and medical systems). Experience coordinating or leading IT projects, including communicating with stakeholders and tracking timelines. Bachelor’s degree in Computer Science, Information Technology
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in various areas of veterinary specialty practice. Our programs strive to prepare trainees for active careers in academia, specialty practice, or for further pursuit of a residency program. The intern
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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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taking applications for a full-time Program Specialist III to act as a Technology and Commercialization Business Counselor. This position will be responsible for providing general business counseling with
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, Counseling, or a related field (e.g., Art and Design, Computer Science). Experience working with or advising secondary school or college students. Experience using educational technology platforms such as
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Veterinary Diagnostic and Production Animal Medicine offers a Food Animal Medicine and Surgery Internship program designed to prepare interns for specialty residency and/or obtain further proficiency in Food
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management experience -Experience with maintenance management systems -Experience with inventory management systems -Computer software experience; specifically TMA -Experience with report writing Job
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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