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, the spatial footprint of extreme weather events, and monsoon low-pressure systems. This includes analyzing observational datasets and numerical model outputs from both global and regional models, as
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candidates whose research and teaching build upon or complement our faculty's strengths. We are particularly interested in candidates who can teach transportation, GIS, spatial analytics, methods, land use
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this knowledge to produce spatial solutions at multiple scales, from site design to land use planning. The programs provide a unique educational experience and emphasize issues dealing with resilience, disaster
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and determine our climate as well as providing insight into how and why the climate changes. This is an enormous topic and covers spatial scales from atmospheric chemistry, aerosol particles, air
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fish larvae. The postdoc will also conduct independent research, mentor undergraduate students, and contribute to external funding proposals. Essential Duties/Tasks: Developing ocean model and conducting
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two-year competitively funded postdoc position is available in Candice Lumibao’s Plant, Microbe and Global Change laboratory at Texas A&M University- Corpus Christi (TAMU-CC), in collaboration with
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Texas and the Gulf Coast region. Experience with geospatial analysis and spatial database management, and related tools and languages (e.g., GDAL; PostgreSQL/PostGIS). Responsibilities Data Strategy and
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postdocs, and contributing to establishing a positive, supportive and collaborative environment. Additionally, this faculty member is also expected to engage, publish, and collaborate with our faculty in
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tools from remote sensing, Geographic Information Science (GIS), graph theory, and data science to address complex research questions. Analyzes both aspatial (e.g., tabular) and spatial (vector and raster
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Experience Appropriate PhD in neuroscience, pharmacology, or related areas. If the degree had not been conferred at the time applicant applied for a postdoc position, a letter needs to be attached from