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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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upgrades for leadership-class and research computing systems. Develop and maintain automation, configuration management, and monitoring solutions using tools such as Ansible, Puppet, Bash, or Python
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software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
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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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, Information Systems, Engineering, or closely related field. Significant expertise with the Python ecosystem for data science. Significant expertise with PyTorch or Tensorflow. Preferred Qualifications
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Familiarity with Python programming Experience with modern software development practices to ensure code quality Experience with computational geometry Excellent written and oral communication skills Ability
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discipline). Strong programming or computational skills (e.g., Python, MATLAB, or similar) sufficient to support modeling and data analysis. Familiarity with manufacturing processes, materials processing
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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication record with publications in
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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