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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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, Environmental Informatics, or a closely related field. 3+ years of strong programming experience in Python (including data processing, scripting, or basic ML workflows). Foundational understanding of ML concepts
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in Python and C++ programming Ability to get and hold a security clearance A commitment to lifelong learning Preferred Qualifications: 5 or more years of experience relevant to the job duties
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, or closely related field Strong computational skills with modeling and simulation experience using High Performance Computing environments and experience with Linux environments Experience with MATLAB, Python
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systems, including embedded C, C++, Python, Linux, and software testing. A high level of facility with MS Office products including Word, Excel, Power Point and Teams is required. Excellent written and oral
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, or a related discipline The ability to obtain and maintain a security clearance from the Department of Energy Preferred Qualifications: Experience with programming languages such as python, Fortran
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the last 5 years Experience in multivariate statistical procedures and basic modelling Data analysis and management programming experience in R or Python GIS experience Excellent written and oral
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and deadlines. Experience with LINUX or LINUX-like environments and scripting/computer languages, such as MATLAB, Python, and Fortran. Familiarity and experience with 10 CFR 830 Subparts A and B and the
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electronic modeling and simulation platforms including MATLAB/Simulink. Experience in coding platforms such as C, and C++, Python. Experience with Linux for code development and system architecture. Basic
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GeoServer and ArcGIS Enterprise. Manage application deployment workflows utilizing Docker. Design database tables and integrate new datasets into existing database models. Use Python to process large