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in animal models. A Ph.D. in Pharmacology, Biochemistry, Molecular Biology, Cell Biology or Physiology, and knowledge and experience with molecular methods is required. Experience in cardiovascular
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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model studies, we aim to gain mechanistic insights into the disease pathologies and ultimately develop treatment strategies. Mission Statement Michigan Medicine improves the health of patients
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large physical modeling basin which serves as a vital resource. Required Qualifications* A doctoral degree in Mechanical, Aerospace, Naval Architecture & Marine Engineering, Scientific Computation
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system near 1.9 microns. In both projects, the successful applicant will be responsible for synthesizing modeling and experimental data analysis and drafting high-quality manuscripts for publication
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novel inhibitory/degrader drugs in preclinical models. The individual should be familiar with routine molecular biology techniques and have an educational background in biomedical sciences or related
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, biomedical engineering, applied mathematics, or related field. Working in team science. Desired Qualifications* The ideal candidate will have demonstrated experience in physical modeling of biological systems
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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models. The Sutton Lab is housed within the Michigan Neuroscience Institute (https://medicine.umich.edu/dept/michigan-neuroscience-institute ) in the Interdisciplinary Taubman Biomedical Sciences Research
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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