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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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Qualifications* This selected candidate must hold a PhD or an equivalent degree and have a minimum of 2-4 years of experience in cellular and molecular biology, possess strong analytical and problem-solving skills
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courses; we also help students learn teamwork and address questions of ethics and social impact. We regularly team-teach courses with both technical communication and engineering (technical) faculty. Our
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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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, for example: Databases and data management; Software engineering; Machine learning; Neural networks; Natural language processing; Modern statistical methods. Experience with collaborative online research
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. Provides input into the development of mathematical and/or computer models for analyzing experimental data. Trains users in equipment operation and laboratory techniques. Explains and demonstrates
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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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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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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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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