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in the position and outline skills and experience that directly relate to this position. Course Description Epid 708 - Machine Learning for Epidemiologic Analysis in the Era of Big Data The course
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lectures, reading discussions, student presentations, and small-group workshops. Example topics include machine learning, software, the internet of things, automation, and networked cities. GSI
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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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. Example topics include machine learning, software, the internet of things, automation, and networked cities. GSI Responsibilities: GSI is responsible for attending class each week (3 hrs/wk) and periodic
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Qualifications* Master's or PhD degree (completed or expected soon) in computer science, computer engineering, or a closely related discipline Experience in machine learning and/or artificial intelligence
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an expert user of molecular modeling tools and a resource for other users on campus. Support screening campaigns with DNA-encoded libraries through triage and development of machine learning (ML) models
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optimization, including reinforcement learning, Markov decision processes, linear modeling, and linear/quadratic/mixed-integer programming. Proficiency with computer programming and relational databases
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clinically validate innovative predictive models utilizing AI and machine learning; test cadaveric anatomy study implementation Complete Data collection and finalize evaluation of AI predictive models
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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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., ATC Assistant Professor Director | PRIME lab Office: (734) 647-1615 | alepley@umich.edu Jacob Haus, PhD Associate Professor Director | Human Bioenergetics lab Office: (734) 647-2790 | jmhaus@umich.edu