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. The postdoctoral researcher will take a lead role in designing and conducting experiments to assess how people with spinal cord injury learn to control their legs in a novel body-machine interface using wearable
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for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods
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, United States of America [map ] Subject Area: Physics / Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/10, listed until 2026/03/10) Position Description: Apply Position Description The William H
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to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) Postdoctoral Research Fellow position At the Centre for the Science of Learning & Technology (SLATE
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at computer work station for long periods of time Standing for long periods of time Risk of back injury from moving/lifting, equipment, or materials Lifting/Carrying up to _50____lbs. Pushing/Pulling up
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an offer. The ideal candidate should have a Ph.D. and will have research experience in chemistry, biophysics, biomedical engineering, or related fields and possess excellent computer and programming skills
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abilities and values to serve our regional, national, international, and military communities, and create a nurturing and learning environment for students, faculty, and staff. Primary Purpose of the Position
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to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral
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and stochastic analysis, numerical analysis, and scientific machine learning. Interest in interdisciplinary efforts is also valued. Commitment to and experience in teaching and mentoring student
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how