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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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MD degree witha strong background in data science Strong programming skills in Python Proficiency in one or more data science platforms such as TensorFlow, PyTorch, MONAI, and scikit-learn Experience
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packages (e.g., Python, R) At Pitt Research, we are dedicated to serving the University's researchers and scholars as they create knowledge and solve complex problems across a wide range of disciplines
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and domains. Ability to troubleshoot connectivity issues and familiarity with vulnerability management and patching processes. Python and nVidia CUDA modules setup and configuration. Relational database
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, preferably within the higher education sector. Strong proficiency in data analysis tools (e.g., Excel, SPSS, SAS, R, Python, Tableau, Power BI). Experience with database management systems (e.g., SQL, Access
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software such as Microsoft Office; knowledge of statistical procedures particularly relevant to longitudinal data; experience with Python and/or R; and critically deep experience recruiting in community
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Python programming and familiarity with Python’s scientific libraries for data analytics and image analysis (e.g., NumPy, SciPy, scikit-image, pandas, etc.) Application Instructions: To apply, please visit
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computer programming (e.g., MATLAB, Python, R) and handling large data sets. Maintaining accurate and comprehensive files documenting field work, modeling analyses, results, and outlining workflow is
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in the humanities, social sciences, geography, or library and information sciences. Desirable: Proficiency in Python for data processing and automation. Experience with digitization workflows, OCR/HTR
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when working in the cloud. The ideal candidate must have experience using SQL Server as well as writing T-SQL. They will need experience using ADS/Synapse/Data Factory/SSDT and working in Python or R