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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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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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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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., 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
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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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required Desired Qualifications* Experience with brain tumor invitro experimental techniques Bachelor's Degree at minimum, Master's Degree or PhD in a recognized field of science directly related to
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code for image processing and analysis, including single cell imaging and tracking Knowledge of artificial intelligence and physics-based computational models for cell behavior Experience with cell
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implantation surgeries Master's Degree or PhD in a recognized field of science directly related to the position Minimum three to five years? of directly related laboratory experience Familiarity with University
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, MATLAB, R, signal processing, machine learning, and time series analyses would be particularly useful but is not a prerequisite; an eagerness to learn and expand knowledge in these areas is expected