Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
administration tools (Developer, Object Manager, Command Manager, Workstation); Proficiency in Linux/Unix environments, including shell scripting and Python; and Knowledge of and experience working with higher
-
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
-
; Ability to develop system requirements for technology implementations; and Knowledge of scripting languages such as Python, SQL, Powershell, JavaScript, XML, HTML, etc. Instructions to Applicants: For full
-
; Ability to develop system requirements for technology implementations; and Knowledge of scripting languages such as Python, SQL, Powershell, JavaScript, XML, HTML, etc. Instructions to Applicants: For full
-
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
-
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
-
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
-
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
-
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
-
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