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analysis tools. An understanding of using data extraction tools such as SQL, SAS, R, Python; data analysis tools such as SPSS; Data Visualization tools such as Tableau, Power BI. Experience with higher
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handlers, sensors, and serial/USB-controlled instruments). Performs software development (Python scripting for instrument control, data acquisition, and integration with AI-driven automation pipelines
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-depth experience with Kubernetes and Docker. Strong experience working with at least one of NodeJS, Java, or Python. Experience with more than one will be considered a plus. Excellent leadership
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, including hardware and network components, security, and cloud technologies required. In-depth experience with Kubernetes and Docker. Strong experience working with at least one of NodeJS, Java, or Python
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technology courses in subjects such as Applied Statistics, Data Analytics, Data Mining, as well as Operations Research. Candidates should possess good knowledge of programming languages such as C++, Java, Python and R
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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engineering skills—Python, Git, unit testing, experiment tracking—and fluency with containerization (Docker) and basic cloud workflows are expected, alongside excellent communication and cross-disciplinary
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geographic groups using specialized tools and programming applications such as SQL, SAS, R, Python, ArcGIS, or QGIS accurately and efficiently. Constructs, cleans, and analyzes longitudinal residential
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., Python, R, TensorFlow, PyTorch, scikit-learn) preferred. Familiarity of complex information systems architecture, electronic health data, transmission standards for electronic health data, information
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design, or community-partnered research. Equipment Utilized CAD/CAE/analysis tools (MATLAB, SolidWorks, COMSOL/FEA), Microsoft 365 (Word, Excel, Teams), LMS platforms, Qualtrics, python, and assessment