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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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/APEX/SWAT, DayCent, or DNDC. •Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and modeling. What You Need to Know Salary
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experience in computer science and geology, demonstrated through coursework, research projects, or prior employment. Prior experience with geospatial programming in languages and tools such as Python, Cython
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to management. RESPONSIBILITIES Software Development: 50% Develop, modify, debug, test, and maintain C#/.NET, JavaScript, Python, and web-based applications. Design, develop, and deploy AI/ML models and
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large datasets using computational tools (MATLAB, Python, etc.) to extract meaningful insights. - Prepare technical reports, research publications, and presentations summarizing key findings. - Identify
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greenhouse gas emissions (CO₂ and CH₄ dynamics). Proficiency in data analysis and geostatistics using programming languages and tools such as Python, R, Fortran, or similar software. Experience managing
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development in Python or C++. Minimum qualifications for a Research Engineer IV - Bachelor’s degree in engineering or equivalent combination of education and experience. - Six years of relevant experience