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. Candidates who enjoy a fast-paced lab environment focused on basic science and translational chromatin/epigenetic cancer research are encouraged to apply. This position is ideal for a recent (or soon to be
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provided each year. Fellows are eligible for University employee benefits programs including health and life insurance options. Mission Statement SEAS At the University of Michigan School for Environment and
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at scientific meetings, and contribute to grant proposals as appropriate. Maintain compliance with institutional, federal, and ethical standards for animal and human tissue research. Required Qualifications* Ph.D
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It
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* Applicants should have a medical degree (M.D., M.B.B.S., or equivalent.) Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry
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conjunction with the PI. Think creatively about research projects to help shape the long-term direction of the lab?s research program. Work cooperatively with other members of the lab and assist in training
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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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. Familiar with Linux OS, virtual environment working and batch scripting. Programming proficiency in R, Python, or MATLAB. Desired Qualifications* Research experience in Molecular Biology, Digital Pathology