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. The focus of the job is to oversee a subgroup in the laboratory dedicated to projects using machine learning, data analysis, and artificial intelligence. The overall goal is to conduct multiple projects
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, and grant proposals. Lead data collection, quantitative and/or qualitative analysis, and synthesis of findings. Mentoring Writes and may contribute to research papers, articles, and publications. Mentor
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Data Support Specialist II, Computer Science (Temporary) Posting Number req25220 Department Computer Science Department Website Link https://www.arizona.edu/degree-search/majors/computer-science-bs
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, and guide rigorous data collection and analysis to inform continuous, evidence-based program improvement. Job Description: Job Duties Outlined: Principal Accountabilities: Along with the PI, lead
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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Develop and maintain applications for data management, visualization, and research collaboration. Work closely with researchers to understand their software requirements and provide technical solutions
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data collection, identification of data sources, statistical analysis, interpretation, and dissemination. Conducts epidemiological analyses when necessary, prepares study protocols to obtain
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and effects of regulations on consumers. Performs data collection, data analysis, and literature reviews to identify useful tools for measuring regulatory impacts in various industry sectors. Conducts
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 22 days ago
analysis software (QGIS, ArcGIS, or equivalent). Skills in data analysis, statistics, and data visualization. Work Plan: The selected candidate will join the Coastal Biodiversity Lab at CIIMAR and will carry
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bioinformatics analyses that enable the interpretation of data generated by various biological assays, in addition to supporting the development of analysis pipelines at the platform. Working closely with other