51 phd-rehabilitation-engineering-computer-science Fellowship positions at University of Michigan
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, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally
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. Required Qualifications* Ph.D. in an area such as social or information science disciplines, computing, engineering, science and technology studies, anthropology, history, media studies, communication, or a
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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chromatin and nuclear structures during development (www.lsi.umich.edu/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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optical cavities, lasers, or long-range sensing. The Limbach group in the Department of Aerospace Engineering at UM performs research at the intersection of optical science, sensing, and aerospace
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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transcripts (unofficial is fine) A written list of classes currently in-progress and taken in the past that are in economics, mathematics, or statistics. Please indicate the name of the course, semester/year
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in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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cancer biology are strongly preferred. Expertise with ChIP-seq RNA-seq and data visualization/analysis is strongly preferred. Experience with CRISPR/Cas9 KO technology is strongly preferred. (Molecular