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assessment. Knowledge and experience in at least three of the following: working with high-performance and cloud computing, programming in Python, data analysis and visualization, geospatial analysis
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strong foundation in machine learning and deep learning (Python, TensorFlow or Pytorch). Experience with image processing / computer vision. Experience with cloud computing, cloud development ecosystem
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proficiency. Preferred Qualifications: Prior knowledge and experience in at least three of the following: working with high-performance and cloud computing, programming in Python, data analysis and
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. Experience with PowerShell or Python scripting. Skills and Knowledge: Knowledge of protecting information and systems within Classified and Controlled Unclassified Information (CUI) environments. Basic
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regression, longitudinal data analysis, and machine learning. Experience working with large data sets and data management tools. Proficiency in Python required, with additional experience in statistical
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PowerShell or Python scripting. Advanced knowledge and management of Active Directory, M365 and Azure. Experience using PowerShell or other scripting languages. Experience with administering Microsoft Exchange
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written and oral communication skills Preferred Qualifications • Prior experience teaching first-year engineering or computing students • Familiarity with MATLAB, Python, or similar technical computing
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: Advanced understanding of network protocols (TCP/IP, MPLS, etc.). Strong troubleshooting and problem-solving abilities. Proficiency in scripting languages (Python, Bash) for network automation. Familiarity
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protocols (TCP/IP, MPLS, etc.). Strong troubleshooting and problem-solving abilities. Proficiency in scripting languages (Python, Bash) for network automation. Familiarity with HPC systems and their unique
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity