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degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
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salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD
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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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professional experience such as internships in industry or national labs, participation in visiting research programs, etc. Software development experience in C++, C, Fortran, MATLAB, R, Python, Julia
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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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. Expert programming skills (Python, SQL, JavaScript/TypeScript). Experience with full-stack development, including front-end (e.g., React, Angular, or Vue.js) and back-end (e.g., Node.js, Flask, or Django
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shell and scripting languages (bash, Python, Go) Experience with Lustre and GPFS file systems Experience with batch schedulers (particularly SLURM) Experience deploying and maintaining automated
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Engineering, Mechanical Engineering or a closely related field completed within the last 5 years. Experience in computational modeling, experimental research, or both. Experience with Python, MATLAB, or other
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Substantial programming skills using Python or modern C/C++ Experience with machine learning and deep learning libraries Experience building AI models in platforms such as TensorFlow, Keras, or PyTorch
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: Development and Execution of Experimental Plans Post Experiment Analysis and Documentation Test Equipment I/O Calibration Expertise in Matlab and/or Python programming Q Clearance TS/SCI Clearance Special