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Field
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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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for regional production, local economies, and food access. The fellow will collaborate closely with food systems modelers, agronomists, GIS specialists, and animal scientists, and will gain the ability
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, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods. Demonstrated experience applying machine learning and AI-based approaches to empirical disease
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, led by the University of Stavanger. WP2 focuses on comparative analysis of urban morphology, accessibility, and mobility cultures in Norway, Sweden, and South Korea. The project combines GIS-based
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small community hospitals to large community hospitals or academic institutions. This recruitment does not include applicants for our GI/Liver fellowship. For those interested in GI/Liver fellowship
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Fucales, in restoration activities of macroalgae, in laboratory and field work, in experimental design, statistical data processing and the use of GIS programs and techniques, as well as in possession of a
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the Lake Victoria Basin (LVB) and Great Lakes Region (GLR). It will build on existing online public participatory GIS software , and be part of GLISA , NOAA's CAP/RISA team for the Great Lakes region
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successful project outcomes. Essential qualifications & skills we are looking for are: extensive work experience in the MENA region; proficiency in using GIS (Geographic Information Systems) and remote sensing
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and conducting interviews for qualitative research purposes Some experience with geospatial skills, including experience with GIS software and geospatial data analysis Desired Qualifications* Experience
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fields. Relevant Training or Courses (optional): Experience with R or similar programming tools, or machine learning algorithms. Geographic Information Systems (GIS). Basic and advanced statistics, time