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hardware and software support to campus users, which includes; troubleshooting, researching, analyzing and responding to a wide range of routine and complex issues or questions and requests for assistance
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theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end
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designs, application developments and other processes related to software defined infrastructure, making improvements as needed Deploy product updates and patches as required while implementing integrations
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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the Salesforce environment. Serving as a technical lead for the Salesforce ecosystem and defining best practices. Maintaining ownership of the Salesforce ecosystem, including architecture and data integrations
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for the educational requirement on a year-for-year basis. Preferred Qualifications: Experience analyzing, installing, maintaining computer software applications, hardware, or telecommunications or network
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Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations. Our department has over $16 million in active research grants
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optimization and resource allocation schemes and algorithms for link and network optimization with hybrid fibre-FSO-RF communications. You will further augment software defined networking controllers
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collaborative spirit and enterprising drive of the Longhorn alumni network, one of the largest university networks in the world, is embedded in our culture, making us human-centered and future-focused in all our
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data assembly, software interfacing, test design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks