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completed within the last 5 years or to be expected in 2025. Demonstrated experience working with machine learning and data analytics using tools in programming languages such as Python, PyTorch, Pandas
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, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication skills. Preferred Qualifications: Strong publication record with publications in
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success. Basic Qualifications: A PhD degree in Computer Science or related discipline. Demonstrated experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C
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), CUDA and/or OpenACC, FORTRAN, Python. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams
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that demonstrably accelerate scientific discovery. Architect and operate federated and collaborative learning experiments spanning multiple sites (national labs, universities, industry) with secure aggregation
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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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testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by publications and conference
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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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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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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