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programming and data analysis skills (e.g., Python, R, MATLAB). Excellent oral and written communication skills, including a record of peer-reviewed publications. Preferred Qualifications: Experience working
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completed within the last 5 years or to be expected in 2025. Demonstrated experience working with machine learning and data analytics using tools in programming languages such as Python, PyTorch, Pandas
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software applications in at least one of the following programming languages: Ruby, Python, Go, and/or JavaScript. Experience with web application development using one or more of the following open-source
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skills, with experience in scripting and automation using tools such as Bash, Python, or Ansible. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana
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Develop, maintain and review high quality code for internal tools using programming languages such as Python, Golang, or Rust Virtualization and Automation: Design, deploy and manage resources in the NCCS
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(DSP), including Fourier transforms, random variables, filter design, noise reduction, sampling theory, and time-frequency analysis. Proficiency in C, C++, Python, MATLAB, Git, debugging, and modern
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distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication skills. Preferred Qualifications: Strong publication record with publications in
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, Fortran, MATLAB, R, Python, Julia, or related languages. Experience with high-performance scientific computing. The ability to obtain and retain a national security clearance. Application Requirements: A
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success. Basic Qualifications: A PhD degree in Computer Science or related discipline. Demonstrated experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C