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Field
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: Docker, MLflow ○ Expertise in 2D/3D image segmentation, detection, and Stable Diffusion techniques (U-Net, V-Net, DeepLab) ○ Strong experience with Generative AI models (GANs, VAEs
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, Python, or statistical software (SPSS, Excel, etc.) Conduct literature reviews and contribute to drafting research publications and reports Maintain detailed records of procedures, results, and equipment
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possess the following qualifications: Demonstrated technical knowledge of commonly used data science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R
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Proficiency using Python Data Architect Senior Minimum 3 years' of professional experience. Comfort translating code for SQL servers to Oracle servers and vice versa Strong analytical, time-management, problem
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science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems
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degree -Prior course work in computer analytics and advanced mathematics -Programming experience preferred: SAS, R, STATA and Python -Eligibility for certification using restricted CDC data sets Preferred
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statistical analysis of electronic health record data; working with large datasets exceeding 20 million electronic health record encounters; using R, Python, and SQL for data analysis and visualization
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health record encounters; using R, Python, and SQL for data analysis and visualization, including base R plot, ggplot, or matplotlib; performing statistical tests (including t-tests and chi-square tests
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* Develop, deploy, and optimize computational pipelines and custom scripts using Python and Bash scripting. Apply and manage advanced computational methods involving Large Language Models (LLMs
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is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850