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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. KEY
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. Experience with data visualization or simple dashboard tools. Familiarity with UI/UX tools (e.g., Figma) or basic design principles. [SPRINT Internship | Word]. Prior participation in team-based academic
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of Insurance (DOI) and the Center for Health Information and Analysis (CHIA) Researching public policy topics, including conducting literature reviews on health policy, public health, and behavioral health
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-solving frequently requires analysis of unique issues/ problems without precedent and / or structure. May manage programs that include formulating strategies and administering policies, processes, and
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, marketing and promotions, and data and budget analysis. This position works to develop relationships with faculty, academic departments, and students by providing leadership within the operations
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, programming, and documentation skills. Demonstrated experience in data analysis and system configuration. Proficient with web-based applications and programming tools. Ability to learn new skills quickly
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information for the faculty lecturer: Academic Year-month Classification is available based on the following ranges: (per salary schedule 7/1/2024) Lecturer A/2 Full-time equivalent Salary Range: $5,507
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. The position involves implementing study protocols, managing data collection and analysis, coordinating study participants, and ensuring regulatory compliance, as well as supporting the activities of the Program
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
the course of the projects. Examples of Past Projects: IMPAN analysis; feasibility studies; Data visualization; Forestry and farm management plans; Manufacturing process improvement; Creating financial models
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management systems or marketing methods. Ability to conduct data analysis with statistical software (e.g., SAS, R, Statistix). Ability to secure external funding to support applied research and educational