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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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. Demonstrated experience with high-performance computing (HPC) storage systems and enterprise storage platforms (e.g., Lustre, GPFS, BeeGFS, or WEKA). Proficiency in scripting languages (e.g., Python, Bash, Perl
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configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet. Moderate proficiency in at least one scripting language such as Bash, Python, or others. Experience performing advanced
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in Computer Science, Data Science, Applied Mathematics, or a related field. Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or TensorFlow
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Python Shell scripting (e.g., bash, ksh, etc.) in a Linux or Unix environment Desired Experience/Skills: Experience building and installing scientific software and other 3rd party software applications
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’ experience post-Ph.D. Expertise in power systems and power electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications
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Neuromorphic computing or Spiking Neural Networks Machine learning, AI/ML algorithms, or scientific computing Strong programming skills in Python and/or C++. Preferred Qualifications: Ability to work
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, engineering, business, or a related discipline and two (2) to four (4) years of aligned experience in the following areas is required for consideration: Scripting (PowerShell, Python, Bash, etc.). Backup
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in auditing and correcting historic metadata, reviewing webpages and using SQL queries to review the database as needed. Utilize Python skills to automate existing workflows, thereby improving
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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