37 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Iowa State University in United States
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authorized to work in the U.S. on an on-going basis without sponsorship. Follow us here: https://www.linkedin.com/company/digital-ag-innovation-lab . Level Guidelines • Expert-level position possessing
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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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qualitative research design, data collection, and analysis. Conduct interviews, field observations, and document review. Manage research logistics, including recruitment, scheduling, and IRB compliance. Prepare
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research and data collection focused on sows in the U.S. production system. Experience soliciting research funds through industry gifts and/or contracts. Evidence of research scholarship as indicated by
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the capabilities of Iowa State's Workday ecosystem. Additional Information: Position Type: Full-time, Professional and Scientific. Location: This is a remote position that requires a candidate to reside in the state
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authorized to work in the U.S. on an ongoing basis without sponsorship. Immigration sponsorship is not available for this position. Required Minimum Qualifications: PhD degree in Chemistry or a related area
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the links to learn more about our hospital: LLoyd Veterinary Medical Center: https://vetmed.iastate.edu/vmc Small Animal Hospital: https://www.youtube.com/watch?v=D5b85eHflJs Large Animal Hospital: https
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research on the quality of pork and beef. The successful candidate will be responsible for generating multi-omics data (proteomic, metabolomic, and related omics such as lipidomics and/or volatilomics) from
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maintenance management systems and software, with the ability to schedule preventive maintenance, track repairs, and analyze data to improve shop efficiency and equipment reliability Job Description
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. Experience independently defining and executing engineering system tests, including field testing with mobile ag machinery. Experience with sensor installation, verification, and data acquisition systems