Date Posted:2026-07-30 Country:United States of America Location:US-AZ-TUCSON-833 ~ 1151 E Hermans Rd ~ BLDG 833 (External Site) Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S.
Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Numberreq26727 DepartmentBiosphere 2 Department Website Linkhttps://biosphere2.org/ LocationTucson Campus AddressTucson, AZ USA Position Highlights The Biosphere 2 Landscape Evolution Observatory (LEO) at the University of Arizona seeks
This Opportunity WSP is seeking a Lead Civil/Geotechnical Engineer to join our US Mine Waste team, at our office located in Tucson, AZ. The following locations will also be considered: Tempe, AZ; Reno, NV or Elko,
Scientific Analyst II Posting Numberreq25756 DepartmentUAHS Brain Science Department Website Link https://cibs.arizona.edu/ LocationTucson Campus AddressTucson, AZ USA Position Highlights The Center for Innovation in Brain Science (CIBS) at the University of Arizona is seeking a Scientific
Logistics Transformation Data Manager Raytheons Logistics Transformation Data Manager is responsible for leading a high-performing team that develops and deploys advanced data and reporting solutions to drive efficiency, cost savings, and strategic decision-making within the Logistics
Sr. Manager, Business Analytics Mister Car Wash is rewriting the rules of the car wash industry. Headquartered in Tucson, Arizona, we are the nations largest and fastest growing multibillion dollar car wash company with over 500
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with