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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
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. Basic Qualifications: A PhD degree in civil, chemical, or environmental engineering. A minimum of 2 years of experience in the use of Python for programming of data analytical models and algorithms
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. Exposure to data center environments and enterprise platforms. Familiarity with scripting or automation tools such as PowerShell, Python, or similar. Strong analytical and troubleshooting skills with a focus
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. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data
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. Demonstrated expertise in writing advanced software in Python. Demonstrated experience with the LINUX operating system, LaTeX, Git, Python. Demonstrated expertise in the design and implementation of deep
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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deliver a robust internal platform that powers development across the organization. Key Technologies & Tools: Languages: Go, Python, Bash CI/CD: GitLab CI, ArgoCD IaC/Config Management: Puppet, Helm
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technical depth with project delivery. Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt). Advanced scripting or programming skills (Python, Bash, Go) for
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related field. Experience in experimental plasma research, plasma diagnostics, or both. Experience with Python, MATLAB, or other relevant scientific programming languages. Scientific research ability
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written and oral communication skills. Experience with MPI, OpenMP, parallel I/O (including HDF5), CUDA and/or OpenACC, Fortran, C++, Python. Motivated self-starter with the ability to work independently