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to the development of research questions and analytical approaches for these data. It is also expected that the research associate will collaborate with multidisciplinary teams of engineers, rehabilitation providers
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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various backgrounds and possess a strong commitment to improving access to higher education. Required Qualifications 5+ years of experience as a leader in instructional technology for social workers
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in the engineering sciences, applied mathematics, physics and computational sciences will be considered. Individuals comfortable with machine learning, the JAX library, finite element methods, and/or
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across the University of Utah including in the departments of psychology, sociology, business, social work, engineering, anthropology, economics, and many others. Key Responsibilities: · Secure extramural
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clinical gait analysis. The candidate will work with Dr. Kota Takahashi to conduct collaborative and interdisciplinary projects that bridge biomechanics, physiology, engineering and rehabilitation medicine
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Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00055 - Chemical Engineering Location Campus City Salt Lake City, UT Type
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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engineering to develop cutting-edge AI technologies for patient care. One critical area in need of advancement is the integration of radiology images (such as MRI and CT scans) with pathology images, which