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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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include securing IRB approval, conducting Q-set analysis, and creating outreach materials. The associate will mentor research assistants, ensuring high-quality work and collaboration across the project
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will provide scholarly collaboration, productive research, and mentoring experiences on exciting research projects. The candidate will be responsible for conducting analysis on genome, transcriptome, and
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, please click here . Duties & Responsibilities Lead a NIH funded project studying inflammation and immunology in lung diseases Screen literature, perform critical analysis of prior research, design and
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collaborations within the Department and with other units across the University. Derive, analyze, and format data for publications, presentations, and grant proposals. Perform statistical and graphical analysis
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working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Develop novel ML / AI models and techniques for analysis of longitudinal time series data
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findings. Knowledge, Skills, and Abilities: Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. Ability to communicate in a clear, concise manner orally and in
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troubleshooting custom measurement systems. Skills in data analysis including scientific programming. Ability to communicate professionally and work in interdisciplinary teams. Minimum Qualifications PhD in related
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experiments. Derive, analyze, and format data for publications, presentations, and grant proposals. Perform statistical and graphical analysis of data. Independently reproduce, evaluate, research, and improve
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detailed records of all laboratory work and experiments. Derive, analyze, and format data for publications, presentations, and grant proposals. Perform statistical and graphical analysis of data