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. Required Qualifications* Graduate student at the University of Michigan-Flint or other accredited academic institution. Strong programming experience in Python; proficiency with PyTorch . Familiarity with
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projects under the direction of the Dean, ensuring timelines, deliverables, and research standards are met. Design and oversee quantitative data analysis pipelines, using tools such as Python, Stata, R
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of supporting documentation across various platforms (e.g., REDcap, Qualtrics); Build, design, and manage databases using MySQL or MS Access; Use R, Python, SAS, and/or Access to integrate data from multiple
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and verbal communication skills. Ability to work independently and collaboratively within a team. Experience in Python/coding language in order to help develop chatbot; experience in clinical management
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experience with both relational and non-relational database systems. Experience developing in Python and/or Scala, particularly for data pipeline creation and automation. Hands-on experience with cloud
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recommending changes for the majority of our courses requires a strong working knowledge of the Python programming language. For further details on the courses in the MADS program and the knowledge we teach
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. We use Python, JavaScript, Django, PostgreSQL, and related frameworks to build frontend and server applications for deployment in multiple customer environments. The ideal candidate would demonstrate
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or a combination of education and experience. Experience with automated behavioral tracking, data analysis in Python or R, and circuit-level manipulations is highly desirable. Employees in
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, PyTorch, or Hugging Face. Demonstrated experience in front-end web application development using Vue.js, React, TypeScript; demonstrated experience in back-end application development using Python, Django
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, or statistical tools (e.g., SPSS, R, or Python). Proficient in academic writing with attention to structure and clarity. Ability to manage time independently and meet deadlines. Desired Qualifications* Coursework