2,494 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Michigan
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the course of employment. Learn more about the work modes . Work Locations This position is a remote position where you will work from home/virtually once training is completed and performance-based competency
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delivery machines and other medical devices Is responsible for learning new technical devices and clinical procedures when applicable. Communicates pertinent observations of patient status to oncoming shift
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equipment returned to Patient Equipment for cleanliness, safety and proper operation Return all equipment from patient floors and specified pick up areas to central location Instruct, upon request, medical
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). Coursework or demonstrated experience in introductory programming Willingness to learn new technologies and work in a collaborative environment. Desired Qualifications* Strong teamwork, communication, and
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tube port, open, distribute, deliver and reconcile problems. Path Track - prepare, build list and bin specimens for transport to offsite labs, reconcile any outstanding bins. Computer Data Entry: Enter
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for clinical use. Responsibilities include designing and implementing new methods in data processing and analysis, such as signal and image processing, machine learning, and advanced mathematical techniques (e.g
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police/military experience, completion of an accredited police training academy or training + MCOLES license and certification (or certifiable) OR Associate degree; completion of an accredited police
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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rising 6th through 12th grade participants. The curriculum consists of project-based learning that is split into courses that include English, engineering concepts, computer programming, and mathematics