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This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction of Dr. Marios
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assigned Minimum Qualifications Bachelor’s degree in Computer Science, Information Systems or a related field. Five (5) years of experience in Identity and Access Management (IAM), Public cloud architect
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orchestration platforms Support strategic expansion of services into cloud environments where appropriate, balancing cost, security, compliance, and performance Participate in security reviews and implement
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dissemination through digital marketing campaigns, including use of automated marketing systems, such as Salesforce Marketing Cloud, and social media; Video production that portrays faculty research and other
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cloud hosted AI platforms providing various emerging capabilities to all university members, such as AI chat bots, AI agents, etc. This includes configuring access policies, monitoring resources
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education Experience in libraries Experience installing and supporting cloud based and on-premises enterprise applications Knowledge, Skills, & Abilities ABILITIES Able to handle multiple tasks or projects
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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, Marketing Cloud specialists, report developers, data visualization analysts, business systems analysts, project managers, and trainers. Establish annual performance objectives, business plans, and metrics
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building cloud-native data pipelines or enterprise data platforms. 3-5+ years of direct Snowflake development experience. Demonstrated ability to modernize legacy data structures and migrate workloads
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
clouds and generating 3D representations of plants and habitats, developing procedures for the fusion of LiDAR and multi-/hyperspectral data and preparing aligned multimodal datasets, developing indicators