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Preferred Qualifications Previous research experience in soil sample analysis (e.g. hydraulic conductivity, porosity, bulk density) Experience with GIS programs, including ArcGIS Understanding of global and
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months or 0.8 FTE for 45 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research environment within
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position of 1.0 FTE for 30 months or 0.8 FTE for 37 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research
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physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic and
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Application requirements Applicant CV or NIH biosketch Personal statement (limit 2 pages) of research experience and future plans Proposed research program: Applicants currently at Duke working with Duke GI T32
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, research, and outreach programs. The Gastrointestinal Laboratory (GI Lab) at the Texas A&M College of Veterinary Medicine & Biomedical Sciences (CVM) provides specialized testing services to help
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of completion. Projects for 2024-2025 will reflect the interest of successful candidates and may fall into three broad categories: historical GIS, historical demography, and climate history. Historical GIS
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
learning. Interest in tropical ecology, public health, and sustainable development. Experienced and highly skilled in GIS and remote sensing. Strong communication skills and an interest in stakeholder
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such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written