51 condition-monitoring-machine-learning Fellowship positions at University of Michigan
Sort by
Refine Your Search
-
of reagents and supplies; optimize ordering and project scheduling to meet service expectations. Monitor instrument performance, oversee routine maintenance, and coordinate vendor support. Uphold SOPs, aseptic
-
great strides in better understanding these common, debilitating musculoskeletal conditions. There is strong potential for development in technical expertise in addition to improvements in communication
-
, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
-
. Establish xenograft and orthotopic tumor models. Develop tumorigenic models using GEMMs (Genetically Engineered Mouse Models). Monitor mice for tumor development and other experimental endpoints. Administer
-
clinically validate innovative predictive models utilizing AI and machine learning; test cadaveric anatomy study implementation Complete Data collection and finalize evaluation of AI predictive models
-
behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract
-
programming is a plus. Required Qualifications* Ph.D. degree in biomedical engineering, medical physics, electrical engineering, computer science, neuroscience, or equivalent disciplines. Good written and
-
particular interest in developing and testing low-cost technologies for the assessment and treatment of neurological and orthopedic conditions. The postdoctoral fellow will be expected to contribute
-
have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
-
environment Work Locations Work location is expected to be onsite in Ann Arbor with flexibility for remote work within our overall Center policies. Modes of Work Positions that are eligible for hybrid or mobile