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of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, MySQL, Jupyter Notebooks) Excellent verbal and written communication skills including the ability to communicate
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., large, longitudinal, clustered data sets). The ideal candidate will be proficient in a diverse range of advanced statistical techniques, such as mixed models, machine learning, and mediation analyses, and
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analytical approaches Advanced computer skills and knowledge of Microsoft Office Suite programs, i.e. Word, Excel, and PowerPoint and analysis software (R or Stata, Mplus, Maxqda or Nvivo or Dedoose) and
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for data analysis and workflow automation Ability to reduce open-ended discovery questions into meaningful experiments Experience applying machine learning methods in drug discovery Modes of Work
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ChatGPT Works: One(1) section (anticipated enrollment: 100 students) Students will learn about the basic AI and machine learning techniques that make up UM ChatGPT, such as neural networks, back propagation
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology