689 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" uni jobs at Purdue University in United States
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to our Equal Opportunity Employment policy Career Stream Professional 3 Pay Band S060 Job Code #20003136 Link to Purdue University's Compensation Guidelines: https://www.purdue.edu/hr/mngcareer
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communication skills Ability to perform complex mathematical calculations Computer skills/familiarity with word processor and spreadsheets Must have general craft knowledge including but not limited to Carpentry
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evening/weekend hours and/or long days, as needed. What is helpful: Bachelor’s degree Additional Information: To learn more about Purdue’s benefits summary https://www.purdue.edu/hr/Benefits
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healthcare services for the communities surrounding Burlington, Delphi, Monon, and Wolcott. More information about NCNC can be found at: https://www.familyhconline.com/about/ What You’ll Be Doing: Under
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in this area frequently use the Purdue MRI Facility (https://www.purdue.edu/mri/) , which houses three research-dedicated MRI systems. Industrial-Organizational Psychology: Purdue conferred its first
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Paid Time Off – additional PTO in December. Additional benefit information: https://www.purdue.edu/hr/benewell/ Additional Information: Resumes and cover letters that contain portraits or personal
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). Insurance starts on first day of employment. Generous Paid Time Off – additional PTO in December. Additional benefit information: https://www.purdue.edu/hr/benewell/ Additional Information: Resumes and cover
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data Develop detailed demand curtailment and load-shedding strategies to reduce peak demand and maintain operations during extreme weather, utility constraints, or grid events Contribute to campus
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Valid driver’s license. Be able to obtain CDL license within first year of employment Preferred: Power plant experience CDL license Advanced computer skills Skills Needed: Basic math skills – Basic
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partner with researchers to translate complex scientific questions into robust, scalable software solutions and data workflows that accelerate discovery and insight. Key responsibilities Lead full-stack