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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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in Python, with experience in PyTorch, TensorFlow, and common ML libraries (e.g., scikit-learn, pandas). Publication record in peer-reviewed journals or top-tier AI/NLP/ML conferences. Strong
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, optical or electrical engineering, or a related discipline. Expertise in optical fiber communications and sensing. Proficiency in Python, C/C++, or other language for data analysis or instrumentation
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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral
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, you will have the opportunity to work on a variety of engaging projects and to explore multiple facets of data science while growing your skillsets and career and having a measurable impact on the
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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. Proficiency with scripting or programmatic languages, such as Python, Igor, and labview. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to