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, and ethical standards in research conduct and data handling. Required Qualifications* Ph.D. in Electrical Engineering, Power Electronics, or a closely related field, with a strong background in power
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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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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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collaborative solutions to societal problems, and promoting an inclusive and innovative community of service for the common good. Information about Michigan Engineering vision, mission and values can be found
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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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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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AI expertise Experience in single-cell and spatial transcriptomics/multiomics data modeling and analysis Computational biology experience Cancer biology analysis experience Modes of Work Positions that
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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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data with behavioral and/or cognitive data in diverse study populations. Required Qualifications* Established record of peer-reviewed scientific publication. Prior experience / comfort with computer