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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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, Satellite). Build standardized, repeatable deployment workflows; contribute to internal platform tools and codebases where appropriate (e.g., Python-based automation). Where applicable, architect and support
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after the application date. Current or recent ORNL postdoctoral researchers and ORNL staff members are not eligible to apply. Preferred Qualifications: Excellent written and oral communication skills
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. Experience developing software for scientific computing, data analysis, or machine learning applications. Proficiency in Python and common scientific computing and machine learning libraries. Strong written
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Working knowledge of computational tools like C#, Python, or MATLAB Demonstrated experience planning and executing measurement campaigns Demonstrated experience with customer engagement, preferably with
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and Docker Compose or equivalent technologies in multi-service environments. Demonstrated proficiency in Python and at least one additional language (e.g., JavaScript, Bash, C++). Experience with Linux
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, including cluster management tools (e.g., SLURM, PBS, Moab). Linux system administration skills, with experience in scripting and automation using tools such as Bash, Python, or Ansible. Experience with
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development practices. Fluency in multiple scientific programming languages (e.g. Python, Julia, Fortran, C++) and awareness of AI-assisted coding techniques. Interest in applying AI/ML methods to scientific
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workflows. Experience writing and maintaining production-quality code in Python, with exposure to one or more additional languages (e.g., JavaScript, Bash, C++). Experience deploying and debugging
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or integrating automated sampling systems, flow cells, microfluidic systems, field-ready sensors, embedded controls, or computer-controlled instrumentation. Working knowledge of Python, Arduino/C