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Our research focuses on translational studies of the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including colorectal, pancreatic, gastric, esophageal, and
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characterization of various gastrointestinal cancers (GI), including colorectal, pancreatic, gastric, esophageal, and hepatocellular cancers. Our group performs cutting-edge research in GI oncology, is very
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involving large international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including colorectal
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested
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machine learning applications. Acquisition, processing, and analysis of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience engaging with stakeholders and
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to work as part of a team; Knowledge and experience in Geographic Information Systems (GIS), including spatial analysis, processing of geographic data, and production of detailed maps. Experience with GIS
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via the academic promotions process. About You Completion or near completion of a PhD in GIS, urban studies, urban data analytics, human geography, spatial epidemiology, or a related field. Experience
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, computational social science, and/or machine learning applications. Acquisition, processing, and analysis of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience
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Eligibility criteria * Fieldwork in North African context; knowledge of Arabic would be appreciated * Organization of scientific events (e.g., study days) * Scientific writing * GIS skills * Photography skills
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python