54 computational-material-science-"Multiple" Fellowship positions at University of Michigan
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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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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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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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stem cells to self-regulate their phenotype, systems-level evaluation of stem cell chondrogenesis and maturation, and whole knee biomechanics. We are looking for a diligent, talented, and self-motivated
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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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qualitative and mixed methods research and developing psychosocial interventions are also desirable. Skill with conducting human subjects research, data management, statistical analysis, and the development
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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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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applicant for a Post Doc position. The candidate will work on multiple funded/unfunded research projects that aim to develop novel methods and devices to assess and improve neurological outcomes after stroke
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for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, and other research groups across campus. The start date is flexible; the