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, City of Hope Comprehensive Cancer. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including colorectal
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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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research assistant will contribute to this effort by searching for risk data across the city, using GIS tools to map out risk factors, and integrating flood modeling results. Through this work, the student
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS, satellite-based, social media Fluency in English; a good understanding of French will be
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metrics. Applies analytical tools such as Life Cycle Assessment (LCA), spatial data (GIS), and/or environmental modeling to assess circular strategies. Collaborates with academic, governmental, and
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, GIS, or related analytical techniques. Record of peer-reviewed publications or scholarly achievements demonstrating research proficiency. Experience or capacity to lead a research team to effectively
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California medical license or equivalent certification/permit as determined by the Medical Board of California. Candidates must also have a minimum of 1 year of training in GI procedures (ie. EGD, colonoscopy
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hydromechanics. It is an advantage to have experience in data management, GIS, statistics and programming. The applicant must be able to work both independently and in a group. Fluency to communicate in spoken and
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skills in quantitative and qualitative methods, including the use of platforms such as R, GIS, and other analytical tools for forensic data interpretation. Knowledge of major concepts, assumptions, debates