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-centered learning environment. We aspire to develop leadership skills in our students and a strong commitment to their professions, to interprofessional collaboration, and to society. These efforts
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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Inhibitory Factor (MIF) Investigating the effects of bile acid metabolites on CDI pathogenesis This position offers training in mucosal immunology, microbiology, single-cell transcriptomics, and animal models
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experience at the time of application; and (b) be familiar with theory of condensed matter, DFT, EPW, tight binding methods, ab initio modeling of electron-phonon mediated superconductivity and the
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human tissues and samples for in vitro studies and modeling, with some potential animal work.The successful candidate will be highly organized, a team player, and able to work flexible hours
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therapeutics. Our research involves experiments with RNA Biology, RNA modifications/editing, mRNA-based therapeutics, primary human cancer cells, cancer and stem cell transplantation models, mouse genetics
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: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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with physical objects/environments, and audio rather than video based AR can help enhance memory/learning Humanizing Computer Mediated Communication: Synthesizing co-presence - What does it mean to feel
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models. The Sutton Lab is housed within the Michigan Neuroscience Institute (https://medicine.umich.edu/dept/michigan-neuroscience-institute ) in the Interdisciplinary Taubman Biomedical Sciences Research