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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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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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, 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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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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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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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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of engineered tendon models Quantify and analyze inflammatory signaling in tendon fibroblasts Investigate ECM stiffness effects on cellular behavior and gene expression Develop fluorescent reporter systems
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interventions for preventing overdose, data modeling, national surveys, policy research, epidemiological research, and health services research on pain, addiction, and overdose. Expectations Selection will be
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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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