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Apply Now Job Summary The hired postdoctoral researcher will perform independent and directed research to achieve the objectives of the research project within the Department of Computational
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enhance our contribution to society. Responsibilities* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis
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immediately. Responsibilities* Design and develop microphysiological systems (MPS) for tendon research Perform cell culture and molecular biology experiments Conduct mechanical testing and characterization
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab
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record of publication in high-profile journals Extensive biochemical and cell biological experience in purifying recombinant proteins, performing GPCR/G protein enzymatic analyses, measuring GPCR/G protein
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. Knowledge and experience in high resolution mass spectrometry is preferred. Knowledge and experience in mass spectrometry imaging with MALDI is a plus. Ability to work closely with others in a small team
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reflected on your resume. How will that contribute to your success in the BI Innovation Fellowship Program? iii) Outside the scope of your research where you had to problem-solve and demonstrate leadership
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research goals. Publish findings in high-impact journals and present research at scientific meetings. Apply for postdoctoral fellowships and grants to support your research. Mentor undergraduate and graduate
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://apply.interfolio.com/167469 ; any questions or inquiries can be sent to nprieur@umich.edu . Job Summary The SEH Program is seeking a postdoctoral research fellow to join Drs. Grace Noppert and Kate Duchowny in
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research