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Stochastic Processes. Expertise in numerical simulations (with Matlab or Python) as well as basic knowledge of neural nets will be valued but not required. Additional Information Applicants must complete
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science / Machine Learning languages to include Python Research, development and implementation of machine learning models Preferred skills/knowledge includes: Active TS/SCI Clearance Master’s degree
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, and /or Engineering course work covering basic electromagnetics, vector calculus, and applications Familiarity with some of the following tools: Matlab; Python; and XFdtd/CST Preferred Skills: A
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maintain clean, well-organized code for data processing and analysis workflows Ideal candidates will have an M.S. degree (or higher) and prior experience with Python, the Community Atmosphere Model, and
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subject matter expert for the sponsor when needed Required Skills/Experience areas include: Software development proficiency (C#, Python, or Java) Team-based software development, troubleshooting, and
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, and problem-solving efforts Required Skills/Experience areas include: Programming language such as Python, Java, Rust, or C++ Basic software development practices (debugging, version control, testing
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/Aurora, GCP Cloud SQL, Azure Database) Proficiency in SQL and one or more scripting languages (Python preferred) Excellent communication and collaboration skills—comfortable working closely with data
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, and deployment Strong proficiency in Python and SQL for data manipulation, pipeline development, and analysis Experience with data annotation tools and platforms (e.g., CVAT, Label Studio, or equivalent
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role in both the scientific application and open-source software development of UXarray, a Python package that extends Xarray to provide native support for horizontally unstructured computational meshes
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Hands-on development of models using frameworks such as PyTorch, TensorFlow, or JAX Proficiency in Python and scientific computing libraries (NumPy, Pandas, SciPy) Data preprocessing, feature engineering