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artificial intelligence, world models, large language models, scientific AI, data ethics and privacy, data visualization, societal impacts of data and AI, data engineering, and scalable data and AI systems
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experience with Excel. Intermediate level R, Python, and SQL. Familiarity with SPSS, STATA, Dedoose, or similar software. Previous experience in data visualization with business intelligence software
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two or more common computer languages). Demonstrated experience in the analysis and management of scientific data, including one or more of the following: scientific data visualization, scientific
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direct supervisory oversight Demonstrated skills in negotiation and conflict resolution Experience with surveys, data collection, data analysis, and data visualization Technical knowledge and skills
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industry collaborators. These deployments provide a rare opportunity to construct digital twins grounded in operational infrastructure, live data, and scalable computation. This position is not focused
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regression, and survival analysis Proficiency in SPSS and other statistical software (example R, SAS, etc) Experience with data collection, management, analysis, visualization, and interpretation. Ability
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, analyze agronomic datasets, and develop interactive web-based decision-support tools using R and Shiny applications. Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/plant-sciences
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: Strong communication, data presentation and visualization skills Ability to work both, independently and collaboratively Additional Information Benefits What we offer: Inspiring working atmosphere: You
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Bachelor Degree or equivalent Skills/Qualifications Desirable Qualifications: - Experience in data analysis using R and/or Python, including data processing, statistical analysis, and visualization
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analytics, data visualization, or artificial intelligence as applied to business disciplines that can lead to scholarly publications in high-quality journals is required. Service duties may also include