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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
Skip to main content Recruit Home Open Recruitments 2027-28 GI Liver Pathology Fellowship (JPF10383) 2027-28 GI Liver Pathology Fellowship Apply now to 2027-28 GI Liver Pathology Fellowship Job
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Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21344778/advanced-specialty-training-astp-program-in-gi-liver-advanced-fellowship Return to Search
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yet been filled. Position description The Department of Pathology & Laboratory Medicine at the University of California, Irvine is now accepting applications for a 1-year fellowship in GI and liver
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collaborative projects involving large international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including
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built. The Department includes researchers from economics, law, planning, public policy, finance, real estate and engineering. LISA supports spatial research across these fields, with a focus on GIS and
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command
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and genetic regulation of obesity, addiction and the gut-liver-brain axis. You will be working within the GI and Liver theme of the NIHR Biomedical Research Centre and the Biodiscovery Institute (https
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built. The Department includes researchers from economics, law, planning, public policy, finance, real estate and engineering. LISA supports spatial research across these fields, with a focus on GIS and
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soil and crop scientists, GIS specialists, remote sensing experts, and computer programmers. They will be responsible for: Conducting fieldwork using UAVs (drones) to capture high-resolution imagery and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 11 days ago
conducted doctoral research within the area of climate change modelling, GIS-based risk assessment, visualization, etc. The ideal candidate should also have several of the following characteristics: ▪ Strong