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Sensing, Conservation Biology, Data Science, or a related field. Experience in ecological modelling, spatial ecology, biodiversity assessment, or remote sensing. Proficiency in R and/or Python, GIS, and
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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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Engine, Python, and GIS software. Strong quantitative and analytical skills in working with satellite observations, geospatial datasets, and environmental data. As the position requires collaboration and
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focuses on translational studies of the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including colorectal, pancreatic, gastric, esophageal, and hepatocellular cancers
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will demonstrate: A Masters or PhD in engineering, environmental science, or a closely related discipline Strong analytical and numerical capability, including experience with modelling, GIS and coding
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stations, including communications setup (satellite, radio, or cellular). Proficiency in data analysis using Python or R and familiarity with geospatial tools such as GIS and remote sensing datasets (LiDAR
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. Application Materials Required: Cover Letter, Resume/CV, List of References Job Category : Faculty Primary Location : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 20318 - SOM-SRG-GI Clinical
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. Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. Develop reproducible R-based analysis pipelines, including support for DataSHIELD or other privacy-preserving/distributed
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information systems (GIS), or data visualization platforms is desirable. Experience conducting literature reviews, synthesizing scientific evidence, and communicating technical information through written
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, perinatal, neonatal and child outcomes related to poverty-related infectious diseases. Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. Develop reproducible R-based analysis