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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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/Experience areas include: Proficiency in one or more modern programming languages such as Python, C++, Java, or Rust Ability to design, implement, and maintain high-quality, scalable software solutions across
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/Experience areas include: Proficiency in one or more modern programming languages such as Python, C++, Java, or Rust Ability to design, implement, and maintain high-quality, scalable software solutions across
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to the broader research team Employ Python, SQL, and annotation platforms (e.g., CVAT, Label Studio) to automate labeling workflows, perform exploratory data analysis, and develop quality metrics Document data
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tools such as Firewalls, SIEM, XDR/EDR, CASB, FIM, IDS/IPS Networking fundamentals System administration and troubleshooting Scripting (bash, python, etc.) Compliance or auditing NIST documentation (e.g
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skills, particularly the ability to explain findings clearly to a general audience. Comfort working with data: spreadsheets, descriptive statistics, and basic charting. Experience with R, Python, SPSS
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on public websites. Work with Principal Investigator and members of the team to advise on data analysis processes using R, Python, Matlab, or other programs Prepare written reports of data analyses
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(M.S. or Ph.D.). Background in artificial intelligence, computer vision, machine learning, or a closely related field. Strong programming skills in Python; experience with PyTorch, TensorFlow, or similar
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as project needs evolve Preferred Skills/Experience areas include: C, C++, C#, Python, Java, JavaScript, .NET, SQL, or similar programming languages Linux and/or Windows computing and software
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, integration, and test phases. Experience collaborating in multi-disciplinary teams for development and implementation of guidance and control capabilities. Object-oriented software design using MATLAB, Python