39 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at University of Michigan
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. The postdoctoral fellow will support our investigations of mechanisms of molecularly targeted therapies utilizing imaging in cell cultures and mouse models. The research will involve molecular and cell biology
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interdisciplinary lab focuses on investigating genetic and epigenetic changes in traumatic brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic
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approaches, our goal is to elucidate the molecular mechanisms underlying RAN translation and its contribution to neurodegeneration. Mission Statement Michigan Medicine improves the health of patients
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-driven (i.e., prostate and breast) cancers. They will also assess druggability of these genes using novel inhibitory/degrader drugs in preclinical models. The individual should be familiar with routine
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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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crystallography, neutron diffraction), kinetics (transient and steady state), and in molecular and cellular biology. We have developed novel tools for anaerobic crystallography and for anaerobic structure
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human brain tissue to determine radiotracer binding affinity, selectivity, and tissue distribution. Perform in vivo PET imaging studies in small animal models (e.g., rodents/nonhuman primates) to evaluate
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on the development and implementation of research plans and goals. Co-authors publications and manuscripts. Presents research findings. Required Qualifications* PhD degree in biochemistry/cell and molecular biology
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effector readouts in cell-based assays, and drug/ligand screening against drug targets Expertise in eukaryotic cell culture, molecular biology, and the willingness to work with low amounts of radioisotope
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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