18 parallel-computing-"Computer-Vision-Center" Postdoctoral positions at University of Michigan
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Skip to main content Contact Center Supervisor - Intermediate Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your
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Skip to main content Contact Center Supervisor - Intermediate Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your
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Skip to main content Contact Center Supervisor - Intermediate Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your
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Skip to main content Global Center Postdoctoral Research Fellow Apply Now How to Apply Applicants should submit one PDF (500kb size limit) containing the following: Curriculum Vitae Statement of
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Skip to main content Postdoctoral Research Fellow - Multiomics and Causal Inference Apply Now Who We Are We, the staff and faculty of the U-M Cardiovascular Center (CVC) team, are committed to
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disease Experience with cloud or HPC computing environments, including Slurm-based job scheduling Familiarity with SQL or PostgreSQL for data querying and management Track record of peer-reviewed
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successful candidate will receive a competitive salary, computing resources, and other benefits in accordance with departmental and university policies. Required Qualifications* PhD in Biostatistics
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Qualifications* - PhD in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, or a related field - Strong background in computer vision and/or machine learning, with hands-on
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Center for Healthcare Outcomes and Policy (CHOP) recently celebrated its 20th anniversary as one of the premier health services research organizations in the country. CHOP comprises more than 80 member
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, community health, rural health, federally qualified health center, emergency department, or harm reduction settings. Experience working directly with rural, underserved, under-resourced, or stigmatized