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courses or 8 credit hours annually. Candidates are encouraged to develop new courses aligned with their expertise, particularly in big data management and analysis, data visualization, or machine learning
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, specifically, documented evidence of high-quality teaching. ● Preference will be given to applicants (i) whose area of expertise are in software development and engineering, and human-computer interaction
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to valuing diversity and contributing to an equitable and inclusive working and learning environment (exhibit 100% of the time) Continuous learning in diversity, equity and inclusion for oneself and team via
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of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
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software including Microsoft Office suite and management reporting systems (i.e. TRIRIGA, Google, PeopleSoft, BI Reports) to maintain data, generate reports and post department information. ● Participate in
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ticket queue and monitoring the Data Infrastructure ecosystem as well as efforts to modernize our operations. These efforts include leveraging automation, infrastructure-as-code (IaC), and machine learning
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: • Computer proficiency, and ability to navigate multiple software applications • Ability to work independently, make decisions, problem solve and prioritize the simultaneous management of multiple clinical
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or senior author on reports, manuscripts, and conference presentations. Provide intellectual leadership in the integration of AI and machine learning approaches for image/data analysis. Establish new
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skills, and a high level of experience with a variety of computer software programs. About the Department The Center for Animal Health and Food Safety (CAHFS) is a center in the University of Minnesota
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for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain