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Field
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and software development emphasis. Demonstrated experience with geospatial analysis using Python in a production or research to production environment leveraging common geospatial libraries (e.g
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., examples of program codes (Python, R, SQL, GIS scripts, etc.), description or documentation of technical solutions to research problems in which the applicant participated (spatial data processing
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Knowledge, Skills and Abilities: o Experience with geographic information system (GIS) software (e.g., ArcGIS, QGIS) and remotely sensed imagery. o Proficient in the use of R, Python, SAS, STATA, or other
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) data sets in R or Python as well as GIS software such as QGIS or ArcGIS Pro. Knowledge of US forest ecosystems and background in analyzing forest structure, stand dynamics, biodiversity, and/or other
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, Geoscience, Soil Science, Physics, or related fields). Preferred skills: Commitment to contributing to outreach activities and research dissemination. Experience in computer programming (R+, Matlab, Python
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate
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: Position 1: Postdoctoral Associate – Software Engineering & Technical Development Proficiency in Python, geospatial libraries, API design (e.g., FastAPI), and cloud/HPC environments. Experience with
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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California State University, San Bernardino | San Bernardino, California | United States | 3 months ago
proficiency in coding languages (e.g., Python, JavaScript, SQL) to design, code, test, and deploy custom digital applications and tools that enhance the community's offerings and data collection capabilities
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programming skills (e.g., Python, Ruby, PowerShell). A good working knowledge of Artificial Intelligence (AI) principles. Including LLMs and the use of AI Agents Experience working with GIS systems and