49 assistant-and-professor-and-computer-and-science-and-data Fellowship positions at University of Michigan
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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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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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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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goals of establishing their own independent research program. Responsibilities* Plan, coordinate, execute, and disseminate basic-science research focused on tendon, bone, and muscle development and
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specific drugs and pharmaceuticals. Help maintain lab organization and record all information in an official laboratory notebook. Maintain organization of lab protocols, equipment operation, and standard
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subjects. The candidate will work under direct supervision of the Principal Investigator Dr. Abhijit Parolia an Assistant Professor in Pathology & Urology in the Michigan medical school. The candidate will
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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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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information