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., ML Ops for geospatial data, real-time analytics, cloud/HPC hybrid, edge geospatial compute, neuromorphic, quantum), pilot new capabilities, foster innovation partnerships (academia, industry, federal
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
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healthy team morale Who You Are Degree in Information Technology, Computer Science, Computer Engineering or equivalent. At least 10 years within IT industry in a technical role, and at least 3 years
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the university’s computing environment. The Endpoint Services Analyst II supports and advances the university’s endpoint environment by independently deploying, configuring, and maintaining software, configuration
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-edge cloud ERP technology in a dynamic higher education environment. The successful candidate will join a collaborative ITS team committed to protecting university data while enabling institutional
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in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a minimum of 3 years