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institutions. This recruitment does not include applicants for our GI/Liver fellowship. For those interested in GI/Liver fellowship, please see separate recruitment https://recruit.apo.ucla.edu/JPF09553
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field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and
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anthropology, architecture, geography, and planning. Candidates who have experience with multimedia production and/ or skills in critical cartography (video, web-based platforms, GIS) are especially encouraged
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, applying data analytic techniques, mapping data using GIS. Writing reports and publications and presenting results at regular meetings and professional society meetings. Assisting with proposal development
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
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to have exceptionally strong backgrounds in GIS, computational science and expertise in other sciences (biology, ecology, physics/engineering, etc.) and programming (e.g. R, Python, etc.). The successful
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) and integrates with work and outputs of ongoing ecohydrological and fire modeling. Primary duties include fire frequency model development, vegetation and landscape modeling including use of GIS
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. Additionally, experience with geospatial analysis, GIS, and data science is essential. Some experience in communication and dissemination of policy-relevant results is desirable. The post is full-time 35 hours
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datasets. Experience with 3D data visualization programs. Knowledge of programming and software development. First-hand industry experience in mining, exploration, GIS, petrophysics or geophysics Why JCU
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growth. Learning Objectives: Learn to isolate bacteria and fungi of interest from the swine GI tract Learn to co-culture isolated microbes to understand microbe-microbe interactions in the swine gut Learn