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Engineering, Applied Math, or a related analytical domain. Expertise in Python and its related libraries, such as Tensorflow, Hugging Face, and Pytorch. Proven experience in power system optimization and AI
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. Proven customer service success. Basic skills in scripting using bash, Powershell, or Python Preferred Qualifications Knowledge of Rancher/Kubernetes and containerization. Thorough knowledge of supporting
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fields. Other required qualifications include: Demonstrated experience with Linux, command line, and networking Demonstrated experience in coding languages such as Python, Go, and Rust Demonstrated
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field; or currently enrolled in a Ph.D. program in these fields Strong programming skills in Python, Go, Java, or C++ Demonstrated knowledge or experience in software engineering principles, data
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program in Computer Science, Chemical Engineering, or a related field Demonstrated programming skills in Python and libraries such as: SciPy, Matplotlib, NumPy Strong motivation to contribute to high-impact
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proficiency in at least one modern programming language (e.g., Julia or Python) Solid understanding of core computer science principles and software engineering practices Experience using Git and GitHub
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Conducting background research on data sets, current modeling approaches, and existing tools Developing literature reviews under the guidance of research scientists Programming and scripting in Python
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Proven leadership in offensive cybersecurity research and program management, including planning and executing complex experiments with strategic impact Advanced proficiency in Python, PowerShell, C/C
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techniques (i.e. fast Fourier transformation, mode and oscillation analysis etc.) Demonstrated proficiency in python programming or other major programming language Demonstrated experience in power system
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with data center modeling is a plus. Hands-on experience with new IBR models (e.g., WECC REGFMA1, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other