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desire candidates with skills in advanced programming, spatial data science, GIS, and GeoAI. Your research will contribute to the development of sustainable, smart, and resilient urban transportation
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international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including colorectal, pancreatic, gastric
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Pharmaceuticals is a biotechnology company developing and commercializing life-changing therapies for people living with gastrointestinal (GI) and rare diseases. Ironwood is advancing apraglutide, a next-generation
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: Ironwood Pharmaceuticals is a leading global gastrointestinal (GI) healthcare company on a mission to advance the treatment of GI diseases and redefine the standard of care for GI patients. We are pioneers
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knowledge of econometric analysis and experience using Stata and/or R. Experience with administrative databases will be valued. Skills in map creation and Geographic Information Systems (GIS) will be valued
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fieldwork in polar environments. Experience with teaching, scientific publication, conference presentations, and grant applications. Experience with GIS and/or geomorphological mapping. Fluency in Norwegian
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. Strong programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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processing (GIS); d) Skills in processing survey or interview data, including systematization of interview information. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
include applicants for our GI/Liver fellowship. For those interested in GI/Liver fellowship, please see https://www.uclahealth.org/departments/pathology/education/fellowship-programs/non-acgme-fellowship
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) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development