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for research and four for teaching. Completed in 2011, the greenhouses feature web-based environmental control systems, in-floor heating, snow-melt capabilities, automated shade/thermal curtains, and multiple
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and Linux command line, Bash, and PowerShell Experience with server virtualization technologies Experience with Active Directory, Group Policy, or MECM Experience in an enterprise IT environment Job
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and other parts in both pneumatic and computerized building environmental automation systems. Operates computerized building environmental automation systems that control heating and cooling systems
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/IowaStateJobs/job/Ames-IA/Postdoc-Research-Associate---Mathematical-Biology_R17657 Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration
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the development and maintenance of workflow e-forms and automated case management checklists Maintain the SEU’s portion of the ISSO Website Develop, distribute, and maintain resources for international scholars
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driver’s license and meet University’s Fleet Safety Program. Preferred Qualifications: Experience with lighting controls systems, including troubleshooting and installation Experience working with Variable
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for the position of Assistant Teaching Professor in the area of industrial automation and Industry 4.0. The appointment for this position is anticipated to begin as early as September 1, 2025 and the initial length
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automated case management checklists Maintain the SEUs portion of the ISSO Website Develop, distribute, and maintain resources for international scholars, employees, visitors, and their university units
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, training, or certification in artificial intelligence (AI), machine learning, or a closely related field. Experience developing chatbots, virtual assistants, or similar AI-driven automation tools
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Microbiology, Molecular Biology, Genomics, Bioinformatics, or a closely related field (required for postdoc applicants) Strong background in bacterial pathogenesis, molecular genetics, and/or microbial genomics