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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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partners. Required Technical Experience: relevant data science/analytics exp incl developing quantitative & machine learning models; Python or R; database technologies (data lake & warehouse) & SQL
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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
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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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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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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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structure and strong working knowledge of versatile programming tools such as Python. Experience with electronic data capture program, REDCap, is preferred. Advanced knowledge of clinical research methods and
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processing in various research projects with MRI and Pathology based image and signal processing projects. Qualified candidates must be proficient in Matlab and/or Python. Qualified candidates should have a