48 phd-computer-artificial-machine-human Fellowship positions at University of Michigan
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Apply Now Required Qualifications* A PhD is required for this position. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department
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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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for cellular signaling Prepare manuscripts for peer-reviewed publication Present research findings at national conferences Collaborate with interdisciplinary research team Required Qualifications* PhD in
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, 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
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related and pain research. Research experience within a relevant
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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to society. Required Qualifications* PhD in applied mathematics including mathematical biology, computer science, engineering, statistical physics, biology, or a related field. Reasonable communication skills
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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials