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Apply Now How to Apply Apply through http://careers.umich.edu/ (click on "APPLY NOW" box on upper right corner of this page). Applications will only be accepted from current Computer and Information
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will support your learning and growth with substantial training, access to resources like LinkedIn Learning and Coursera, as well as tuition support. As skills and knowledge build, take on stretch
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, United States of America [map ] Subject Areas: Statistics, with a focus on artificial intelligence and statistical machine learning Starting Date: 2026/08/25 Appl Deadline: 2025/10/01 11:59PM (posted 2025/08/01, updated
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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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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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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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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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for approximately 4-8 hours/week. Responsibilities* Assembling and maintaining sensitive electronic equipment Organizing spaces Computer assembly and system maintenance Troubleshooting computer applications Support
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programming languages such as Matlab, Python, C/C++. Familiarity with cloud computers. Experience with MRI and medical physics. Desired Qualifications* Familiarity with Docker and Kubernetes, and their
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research accomplishment, excellence in teaching, and commitment to service. Successful candidates will focus on foundational work in artificial intelligence and statistical machine learning. The successful