Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
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
-
optimization, including reinforcement learning, Markov decision processes, linear modeling, and linear/quadratic/mixed-integer programming. Proficiency with computer programming and relational databases
-
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
-
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
-
., 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
-
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
-
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
-
have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
-
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
-
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