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in NIST SP 800-53rev5 and IETF RFCs on security protocols. Proficiency in full stack development (e.g., front-end: React, Angular, Vue.js; Back-End: Node.js, Python, Go, or Java). Familiarity with
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, and other resource management skills Ability to analyze and interpret complex and often legacy codebase, processes, and procedures including Oracle PL/SQL, shell scripting, Python, and low-code/no-code
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for automated data analysis, system administration skills in monitoring and managing petabyte-scale data storage servers and databases, and expertise in computer programming in python, JavaScript, SQL, and other
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. Good programming skills (Python and C/C++ preferred). Proficiency in English and excellent communication skills and teamwork. Work Plan: The selected candidate will join the Intelligent Systems Group and
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, Group Problem Solving, Human Genetics, Java, MATLAB, Model Organism, Python (Programming Language) Grade R09 Salary Range $41,700.00 - $75,600.00 / Annually The salary range reflects base salaries paid
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Department Public Health Administration Department Website Link https://publichealth.arizona.edu/directory/administration Location Tucson Campus Address Tucson, AZ USA Position Highlights The Data Analyst
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, delivery, evaluation and assessment of the engineering courses and student outcomes associated with those courses. The engineering courses include, but may not be limited to introductory engineering; python
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Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python
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. Conducting qualitative and quantitative analysis using NVivo, SPSS, and advanced Excel. In designing data collection instruments. Collating, aggregating, and cleaning library and collections data using Python
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various public health topics and may include building R Shiny or other dashboards, recurring data reports, and automated data pipelines. Write programs in R and/or Python for data preparation, standard