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position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally
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or more key focus areas, including: geospatial intelligence, spatial statistics, geographic visualization, GeoAI, cartography, and web mapping. University teaching experience, in particular with online
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, document, archive, and transfer large datasets; maintain metadata, geographic crosswalks, and version control. Formal Analysis - Apply statistical, spatial (e.g., nearest-neighbor distance, Moran’s I), and
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, spatial statistics, machine learning approaches, large ecological datasets Previous experience with passive acoustic monitoring and/or eBird data Familiarity with ecology and/or ornithology Demonstrated
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in Bioinformatics, Computational Biology, Statistics, or a related discipline. 1–2 years of proven experience in sequencing data analysis. Experience in the analysis of RNA-seq, Whole Exome Sequencing
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statistical models (Bayesian approaches, geographical analyses) adapted to environmental data. • Carry out statistical analyses and the spatial distribution of risk between residential environmental exposures
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programmes in spatial planning and architecture, in Polish and English, including conducting classes using statistical methods and GIS. Participating in the education of doctoral students, including serving as
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restricted data, developing and implementing statistical models, preparing requests for results disclosure, and contributing to peer-reviewed manuscripts. Project #2: The Research Scientist will also
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Position Description The Department of Statistics in the College of Arts & Sciences at Texas A&M University anticipates two Visiting Assistant Professor positions to begin on August 1, 2026. Both
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development of an analytically focused criminal justice curriculum. Candidates whose work bridges criminology and advanced analytical methods (e.g., spatial analysis, social network analysis, intelligence