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reporting by ensuring reliable and accurate spatial data inputs. Spatial Analysis, Visualization & Automation: Utilize GIS applications to perform spatial analysis, geoprocessing, and data transformations
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machine learning and artificial intelligence methods for pedestrian volume estimation. Assist in developing databases, data processing pipelines, and online visualization tools. Assist in preparing
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data visualization or willingness to learn Proficiency in data analysis, including statistical analysis or willingness to learn Proficiency with computers and essential software programs Familiarity
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eKFS system) using Tableau or other emerging business intelligence, data visualization, and analytics tools, as appropriate. Write, optimize, and maintain complex SQL/MySQL queries to extract and
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machine learning, data visualization, SQL and relational databases, geospatial analysis, web scraping or APIs, and reproducible research workflows. Preference will be given to applicants who have a
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machine learning, data visualization, SQL and relational databases, geospatial analysis, web scraping or APIs, and reproducible research workflows. Preference will be given to applicants who have a
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and maintain dashboards in Tableau or similar BI tools (e.g., Power BI) Ability to apply data visualization best practices to turn complex data into clear, compelling visual narratives for audiences
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reusable bioinformatics analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when
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portfolio management. Core accountabilities: Advanced Prospect Analytics & Innovative Data Intelligence (60%) Lead Generation & Data Mining: Proactively identify untapped donor pools using cluster analysis
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computing infrastructure and AI/HPC software tools. Since its inception in 1989, HPRC has infused computational and data analysis into the research and creative activities of every academic discipline at