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Field
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) experience. Experience using data and geospatial analysis software such as: ArcGIS, QGIS, SQL databases, Python, R. Experience using cloud computing resources such as AWS or Azure. Proven ability
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, Critical Reasoning, Data Management, Discrete Mathematics, Group Problem Solving, Java (Programming Language), Machine Learning (ML), Perl Programming, Probabilistic Modeling, Python (Programming Language
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pipelines, ETL workflows, and relational databases using Python, SQL, and related technologies. Experience collaborating across researchers, analysts, and university administrators to define requirements and
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eligible for a hybrid work assignment in conversation with the supervisor. This position is not eligible for visa sponsorship. Outstanding U of A benefits include health, dental, and vision insurance plans
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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one or more years of research training Working knowledge of: Artificial Intelligence systems Database: Design and development Languages: Java, PHP, MySQL, HTML, XML, Python, R, or similar Platforms
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and relational databases Advanced proficiency in SQL, including query optimization and complex data transformations Experience developing applications using PHP and/or Python Desired Qualifications
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data scientists to ensure smooth data pipelines. Strong technical expertise in data engineering, including proficiency in SQL and Python, is also required. This is a hybrid position located in Ann Arbor
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(U-M) researchers, including provision of analysis on externally or internally funded research projects. Hold one-on-one consulting appointments with U-M researchers. Serve as an instructor
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there for many decades to come. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and