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Field
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programming language (e.g., Python, MATLAB, R), proficiency in GIS or other geospatial software, preferably field work experience for data collection (survey and damage assessment), and an interest
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reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate
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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
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support PI’s research and education activities to enhance environmental, soil, water quality, microclimate monitoring, Geographic Information System (GIS), and remote sensing research programs as part of
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following software programs (e.g., R, Stata, Python, GIS); Have strong organizational and communication skills. Preferred Qualifications Experience with survey design and impact evaluations in emerging
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO
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at the time of application is accepted, but Ph.D. is required by the start date. • Candidate must have experience using GIS and remote sensing software and satellite data products in analyzing glacial lakes
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modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C/C++, FORTRAN and/or Python. Experience working with geo-spatial
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and coding in Matlab, R, Python or similar; and GIS programme Skills 9. Demonstrable ability to work cooperatively as part of an interdisciplinary team, including participating in research meetings. 10
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: Analyses Utilize statistical programming languages including but not limited Stata, SAS, R, Python. Perform data linkages. Perform statistical analysis of large dataset to investigate the associations