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California State University, San Bernardino | San Bernardino, California | United States | 3 days ago
course content: Advanced Epidemiology, Advanced Biostatistics, Research Methods, Program Planning and Evaluation, Infectious and Chronic Disease Epidemiology, Spatial Epidemiology, Advanced Topics in
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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns
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changes translate into altered mechanical phenotypes at the cellular and tissue levels remains incomplete. Addressing this gap requires experimental approaches capable of probing mechanics with high spatial
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methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP methods - Sentiment Analysis, Topic Modelling, Discourse analysis), visualization methods, as
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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to Search Postdoctoral Research Associate, School of Mining Engineering and Mineral Resources Posting Number req24974 Department Sch Mining Engr Mineral Res Department Website Link https://mining.arizona.edu
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these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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of education and/or experience. Certifications/Licenses Required Knowledge, Skills, and Abilities Experience using geographic information systems (GIS), ArcGIS, and spatial analysis datasets and in statistical