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position is a great opportunity to learn more about the human subjects research process from start to finish, gain experience in 1:1 participant contact (both through interviews and intervention) and expand
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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
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in the ECE - Electrical & Computer Engineering Department. Please include your resume. Job Summary A master's student in the ECE - Electrical & Computer Engineering Department is sought for assistance
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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
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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
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using molecular simulation and machine learning methods. This position offers the opportunity to work at the intersection of computational methods and advanced material discovery in a highly collaborative
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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, including the most recent papers. Preference may be given to candidates with knowledge in machine/deep learning, statistical inference, image analysis, survival analysis, causal inference, and high
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Coordinator Senior in the team. Supervision Exercised: None. Required Qualifications* Excellent interpersonal, oral, and written communication skills Proficient computer skills including Microsoft software
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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