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all relevant software, network solutions, cloud-based computing, web-based computing, and mobile platform solutions currently in use or being considered by the Advancement division, or associated with
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-Performance Computing and Future Data Centres AI-Optimized Electronics for Edge and Cloud AI Acceleration – Investigate AI-enhanced data centre electronics, optimizing workload distribution, energy efficiency
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CUNY City University of New York - System | New York City, New York | United States | about 2 months ago
engineering of complex datacenters, networks and cloud deployments. Under administrative direction of a university IT manager, with broad latitude for independent action or decision, is responsible
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of departmental computers used by administration, technical and research staff. Determines and recommends computer and networking hardware, obtains quotes, orders and purchases software and hardware; sets up and
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to support incidents and scheduled change windows. Essential Functions Proactively monitor wired, wireless, voice, and cloud-based network infrastructure, identify performance or security anomalies, and
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, able to manage multiple campaigns simultaneously Familiarity with lead scoring or AI-powered lead prioritisation tools Desirable requirements: Proficiency in Salesforce Marketing Cloud features such as
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advancement services, alumni relations and development departments. Specifically, by maintaining and ensuring accuracy of data in Compass (Salesforce CRM), sending mass emails using Salesforce Marketing Cloud
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. About the Role As Programme Security Architect, you will: · Lead the design and deployment of advanced security architectures across cloud and on-prem systems, utilising a Microsoft-first approach
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, mortality, migration, and the environment. Faculty come from multiple disciplines, benefitting from the cross-pollination of ideas. Our dedicated research and programming staff support fellows at every stage
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing