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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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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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common languages such as Python and bash Understanding of versioning and code review tools like GitHub and GitLab Experience with configuration management tools such as Puppet or Ansible Experience
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is a must. This includes experience in project management and talent development. Proficiency in scripting languages like Bash, Python, or Perl is expected for automation tasks. Familiarity with C/C
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Experience with numerical computing using programming languages such as C++, Python, etc. Author or co-author of open literature publications Special Requirements: Applicants cannot have received their Ph.D
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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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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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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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’ 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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interpretable ML models in Python and TensorFlow/PyTorch. Experience with geophysical data analysis, interpretation, and the application of AI/ML in geosciences and geophysics. Excellent written and verbal