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of complex HPC infrastructure and performance issues. Automation, Security & Modernization Develop and advance automation using Python, Bash, Ansible, Git, and infrastructure-as-code practices to improve
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perception errors, and identify safety-critical scenarios and edge cases. Develop scalable vehicle and traffic simulation, experimental automation, and data-analysis tools using Python, MATLAB/Simulink, C/C
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, Python, or Ansible. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP
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spectroscopy. Experience designing custom experimental hardware, vacuum systems, and plasma diagnostics. Experience applying machine learning methods for predictive analysis. Expereince with the Python
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clear conclusions. An understanding of RF sensing theory. Proficiency in RF collection system design, assembly, and deployment. Proficiency in Python, MATLAB, or equivalent software programming language
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for microscopy, spectroscopy, interferometry, or quantum-optics experiments. Experience acquiring and analyzing experimental data using Python, MATLAB, LabVIEW, or comparable scientific software. Preferred
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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plasma-material interactions, including models for sputtering, impurity transport, and sheath physics. Programming experience in Python, MATLAB, Fortran, C++ and other science relevant languages. Ability
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, provenance frameworks, or workflow orchestration frameworks. Familiarity with or exposure to designing agentic workflows or AI agent frameworks. At least 1 year of programming experience in Python, with
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++, Python, Fortran, Git, and CMake an asset. Demonstrated writing and communication skills and ability to publish. Preferred Qualifications: Experience with Multiphysics software and simulations an asset