28 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"TCAT-Dickson" positions at Iowa State University
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related field Experience with maize and soybean crops and managing field experimentation Experience collecting plant and soil samples and drone imagery Experience in data analysis and statistics and use
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operating and interpreting data from analytical and characterization equipment, including: Universal Mechanical Testing Machine Scanning Electron Microscope (SEM) DTG thermal analyzer FT‑IR spectroscopy
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formulations, (2) help carry out the toxicological evaluations of escalating nanovax doses in chickens, and (3) work with other team members in analyzing data from LPAI challenge of vaccinated chickens and
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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. • Train users in equipment operation and laboratory techniques, explain and demonstrate technology and equipment capabilities, operations, limitations and outcomes. • Coordinate data collection and
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progress. Additional Information This position is fully on‑site and requires work in BSL‑2 and BSL‑3 laboratory environments (BSL‑3 training will be provided). Personal protective equipment (PPE) is required
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agronomy. Expected outputs include peer-reviewed publications, proposal contributions, and mentoring. Required Minimum Qualifications: Ph.D. in Mechanical Engineering, Computer Engineering or a related field
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and administrators, alumni, and external partners Maintain accurate data to support the sustainability and growth of the athletic alumni database Assist with the planning and execution of reunions and
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interests 6) contact information for three references If you have questions regarding this vacancy, please contact Dr. Michael Castellano at castelmj@iastate.edu, or 515-294-3963. Applications received by
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sustainability and/or ability to use data-driven approaches and emerging technologies (sensors, artificial intelligence) to address production challenges Proposed Start Date: July 1, 2026 Number of Months Employed