996 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in United States
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architectures adapted for biomedical applications; and using Python, SQL, PySpark, AWS cloud computing environment, Databricks, Git-based workflows, R and SAS. Michigan Medicine conducts background screening and
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industry (e.g., AI integration, cybersecurity trends, and cloud computing). Utilize a variety of teaching methodologies to accommodate diverse learning styles. Hold regular office hours to provide individual
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. Offer support for desktop, mobile, and cloud-based technology and systems to students, faculty, and staff. Enter trouble tickets into the Help Desk ticketing system and route advanced support requests
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Location Lexington, KY Grade Level 14 Salary Range $93,527-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https
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of Informatics, Computing, and Engineering, visit: https://luddy.indiana.edu/ Basic Qualifications Candidates must hold a Ph.D. in Computer Science, Informatics, Engineering, or a related field from an accredited
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projects involving spatial big data, high-performance computing, and cloud-based geospatial analytics Develop and maintain reproducible workflows, code repositories, technical documentation, and project
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). Knowledge & Technical Expertise Mastery or deep understanding of multiple IT domains including infrastructure, networking, cloud, cybersecurity, research computing, or digital collaboration. Strong working
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operations and quality standards. Maintain all documents and requirements to maintain usable and meaningful data in various programs including but not limited to Education Learning Cloud (ELC), Knowledge Lake
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/Analyst is responsible for designing, developing, integrating, and supporting cloud-based and AI-enabled solutions that enhance operational efficiency and institutional effectiveness. This role focuses
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, notifies program/department chair. Minimum Qualifications: A qualified faculty member in Cloud Technologies meets the program standard through one of four routes: Possesses an earned master’s degree