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be required to submit three reference letters. Yue Wan’s profile @ Genome Institute of Singapore (https://www.a-star.edu.sg/gis/our-people/faculty-staff/members/yue-wan, http://www.ywanlab.com/)
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execution of high‑impact initiatives including the Ruesch Symposium, Patient Summit, annual golf event, ASCO exhibits, monthly clinic tabling, and GI Advocacy Awareness activities. The position supervises
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delivering high quality care. Fellowship training advanced endoscopy GI is preferred. Apply online – https://unmc.peopleadmin.com/postings/95579 . Required Qualifications: MD, DO, MBBS or equivalent Board
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with disabilities. Location Omaha, NE Requisition Number: 2026 - 026 Department Int Med GI 50001304 Business Unit(College/Institute) College of Medicine FTE: 100 Reg-Temp Full-Time Regular Work Schedule
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should also have proficiency in GIS software, data collection tools, and a solid understanding of forest management principles. Excellent communication and teamwork skills are crucial for collaborating
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, Environmental Science, Agronomy, Plant Science, Soil Science, Agricultural Engineering, or related quantitative field. • Demonstrated experience in GIS-based spatial analysis. • Experience with quantitative
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Assistant, Associate or Full Professor (HS Clin, Adjunct, Clin X, In-Res) GI / GU Radiation Oncology
Position overview Position title: GI / GU Radiation Oncology Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and, if applicable
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at the University of Illinois Urbana-Champaign campus based on operational needs. For more information about Gies business visit https://inside.giesbusiness.illinois.edu/work-at-gies For more information on Civil
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Design, Computer-Aided Drafting, GIS, Electromechanical Technology, Machinery, Mechatronics, Computer Networking Technology, Computer Software Specialist, Cybersecurity, and Industrial Safety. Adjunct
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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work