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and Computer Engineering. The position involves conducting research in program analysis toward developing efficient and scalable tools for reasoning about binary security properties. Required
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for the following responsibilities: Assist faculty, staff, and graduate students with data analysis, visualization, and communication for research, teaching, and outreach projects. Develop and support web-based tools
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; ability to interface with stakeholders using the telephone and computer-based tools such as email or chat while utilizing customer service skills to include customer needs assessment and evaluation
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technical concepts to audiences with varying levels of expertise. • Proficiency with Linux command line tools, shell scripting, and one or more programming languages commonly used in scientific computing
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orchestration technologies such as Apache Airflow or comparable tools. • Experience working with infrastructure-as-code technologies such as Terraform. • Experience supporting machine learning, predictive
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technologies: ForceDecks, NordBord, ForceFrame - Data visualization tools: Tableau, Power BI - Data analysis & coding tools: R, Python - Machine Learning: Predictive modeling, feature engineering, model
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and/or development of computational and methodological tools for network neuroscience. The candidate is expected to contribute to publications, collaborate with other lab members and external
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administration. • Demonstrated working experience with network and computer monitoring, data forensics, and data recovery. • Demonstrated working experience with identity and access management tools
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to explore opportunities for and develop a medium-term plan for using artificial intelligence tools to support research administration, strategy, and development. The candidate will work with stakeholders
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water lines. Special emphasis for alignment, millwright, machining, plumbing, tubing, chemical or other special material applications. The incumbent performs various Power Plant maintenance and