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machine learning models and data processing pipelines required. Experience with the latest and greatest web standards, including HTML5 and CSS3 required. Working Conditions and Physical Requirements
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economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy solutions to their most pressing environmental and energy challenges. Job Summary The
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handling (HIPAA/GDPR concepts). Maintains and analyzes statistical models using best practices in machine learning, statistical inference, and reproducible research workflows. Prepares publication-ready
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of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data
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of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data
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implementation of an efficient and reproducible data processing pipeline. Builds and rigorously evaluates statistical models using best practices of machine learning and statistical inference. Prepares project
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learning and artificial intelligence techniques to understand and engineer molecular and materials systems. Areas of interest include, but are not limited to, coarse-grained molecular modeling of polymeric
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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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, PostGIS, Solr, and ElasticSearch. ArcGIS, QGIS, Leaflet, and D3.js. REST APIs. Apache. Docker. HTML, CSS, XML, XSLT, TEI, and IIIF. Experience with and willingness to explore AI and machine learning
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, department, and institute. UChicago’s Regional Advancement team is organized into four regional teams, Central, West, East, and Global. This model is part of a broader institutional commitment, approved by