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using Python and Fortran programming language. Responsibilities: Conduct a literature review and gap analysis of existing models on methane and nitrogen gas production, livestock enteric fermentation, and
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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