2,129 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Michigan in United States
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Apply Now Job Summary The Finish Machine Operator II is responsible for setting up and operating cutting, folding, finishing and production machinery according to specifications, monitoring machine
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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or equivalent combination of education and experience. Completion of an accredited or military Surgical Technologist program or a program pending immediate accreditation. Certification from The National Board
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relative to Auto No-Fault and Worker Compensation cases that are not successfully collected through normal claims submission and resolution measures. This self-motivated, confident, Professional will
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. Required Qualifications* Must be a current undergraduate student at the University of Michigan-Dearborn. Desired Qualifications* Upper-level Psychology major with computer skills. Modes of Work Positions
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signal processing or machine learning Programming Experience (e.g., Matlab or Python) Willingness to start immediately Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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electrocardiograph (EKG) machines to record electromotive variations of patients' heart muscle in order to provide data used by physicians in the diagnosis and treatment of heart ailments. Responsibilities
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seeking a Research Engineer to support multiple funded projects focused on physically grounded human-machine collaborative systems. These projects advance research in computer vision, machine learning
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supervision Competency in computer programs, telephone etiquette, and other office procedures Ability to work in a high volume, fast paced clinic Excellent customer service skills Ability to work over-time
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Criminology, Law, and Criminal Justice related field. Computer skills. Prior experience with Canvas. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion