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, consent 30% - MRI Data Collection and Data Analysis 15% - MR Image Evaluation and Annotation 15%-Conference Abstract and Manuscript Preparation Required Qualifications* Applicants should have a PhD
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Apply Now Job Summary The Rao Lab in Department of Ophthalmology & Visual Sciences, the University of Michigan Medical School seeks to understand pluripotent stem cell biology, genomics, epigenetics
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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medicine, stem cell biology, and gene editing technologies. Additional proficiency in vascular biology or genomics data analysis is a plus, but not required. Modes of Work Positions that are eligible
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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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are available at the University. Our collaborators include clinicians and methodologists at the University, including the Dept. of EECS, Biostatistics, Michigan Institute for Data Science (MIDAS) as
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technology and engineering, data modeling, national surveys and epidemiological research. Compensation and Benefits This Postdoctoral Research Fellowship position includes: Annual compensation based on levels
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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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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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Qualifications* This selected candidate must hold a PhD or an equivalent degree and have a minimum of 2-4 years of experience in cellular and molecular biology, possess strong analytical and problem-solving skills