27 modelling-and-simulation-of-combustion-postdoc Fellowship positions at University of Michigan
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@umich.edu with the words "Mental Models Postdoc Application" in the subject line: Cover letter describing your relevant experience and scholarly interests Curriculum vitae Two to three relevant publications
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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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the regenerative capacity and neuroprotective roles of glial cells in injuries and neurodegenerative diseases. Postdocs in our lab will have freedom to choose innovative and exciting projects while, at the same time
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resistance, utilizing human and murine cells, orthotopic models, and Genetically Engineered Mouse Models (GEMMs). We are seeking a motivated and hard-working scientist with strong project leadership and
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analyses of observational data, qualitative surveys, and ABM simulations. In addition to continuing their independent research, the research fellow will be expected to collaborate with the PI and other lab
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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
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obtained scRNA seq data from our DMG models and are seeking a qualified postdoc with expertise and data analysis and bioinformatics. The candidate is expected to design and perform experiments to accomplish
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over 56,000 square foot of dedicated, state-of-the-art facilities. BI provides some of the most diverse research environments at U-M. Many grad students, postdocs, visiting scholars from various
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with working on a new Ford-sponsored project to develop, implement and validate a model for die steel life prediction for advanced automotive high pressure die castings. The position will be co-located
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity