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of Job Duties: The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University’s cloud-based data lake and warehousing environment
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, moving from legacy on-premises infrastructure toward hybrid and cloud-native solutions (Azure/Entra ID). Manages software licensing (Microsoft EA), hardware lifecycles, and support staff. Defines necessary
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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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environments. This role is instrumental in advancing the University’s cloud strategy, ensuring best practices for security and compliance, and integrating cloud services with on-premises infrastructure. Work
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working with high-performance or cloud computing environments. Practical experience in either large-scale genomics data analysis or statistical/AI/ML method application to biological data. Familiarity with
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proposals; and Maintains organized records to support compliance and transparency. Required Qualifications: Bachelor’s degree in health sciences, computer/data science, social sciences, or a closely related
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-person and virtual learning) options. The Executive Education department consists of open enrollment, global, and custom program portfolio management; guest services; marketing; corporate sales; program
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Number req25419 Department Systems and Industrial Engr Department Website Link https://sie.engineering.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Department
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, quantum computing, cloud computing, etc.). Ensure that practices comply with university policies and align with accreditation requirements. Support faculty development and scholarship. Serve as a member of
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, an on-campus 3T MRI facility, EEG, TMS and tES, eye-tracking, and animal housing facilities. In addition, researchers benefit from access to high-performance computing resources and Azure cloud infrastructure