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analyzing the subseasonal-to-seasonal variability of the climate system; Demonstrate experience in Python code development; and Knowlege of programming skills including Python code development. Preferred
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experience (generally 5 years or longer) in atmospheric sciences; and Knowledge of Fortran, Python, R, Database (Postgres, MySQL, SQLite), Shell program language skills. Preferred Qualifications: Knowledge
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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programming for game engines and related platforms; Proficiency in programming languages relevant to game development (e.g., C#, C++, Python); and Strong capacity to work independently and collaboratively in a
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programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions
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related platforms; Proficiency in programming languages relevant to game development (e.g., C#, C++, Python); and Strong capacity to work independently and collaboratively in a team environment. Preferred
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technologies: Software Design Methodologies: Object Oriented Design and Analysis, Unified Modeling Language (UML), Agile/Scrum, Waterfall; Programming Languages: C/C++, C#, .NET, Java, Python; Scripting
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technologies: Software Design Methodologies: Object Oriented Design and Analysis, Unified Modeling Language (UML), Agile/Scrum, Waterfall; Programming Languages: C/C++, C#, .NET, Java, Python; Scripting
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experience in the marketing profession is strongly preferred; and For Marketing Analytics/Research courses, familiarity with Microsoft Excel, Qualtrics, R, Python, Tableau, and/or PowerBI. Instructions
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applications and tools, such as Java, Python, Jupyter Notebook, HTML, CSS, JavaScript, Git, APIs; Demonstrate knowledge of AWS and Google Colab; and Experience with Unix/Linux environment and high performance