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sponsorship. Qualifications Required qualifications PhD in biomedical engineering, electrical engineering, or equivalent engineering degree with an in-depth understanding of physiological signals in response
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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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approaches, and cell signaling to pursue independent projects examining intrinsically disordered regions (IDRs) in G protein coupled receptors (GPCRs). In addition, the candidate will have the opportunity
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computer science programs (Chemical Engineering, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial Engineering). This two-year
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Qualifications Doctoral degree in cell biology or molecular biology with extensive experience in cloning, protein purification, enzymatic assays and genetic engineering, with demonstrated knowledge on signal
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. Our research investigates how receptor-mediated signal transduction is regulated in time and space within cells. As a postdoctoral associate, you would spearhead a project related to these themes while
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preparation, data collection and processing. Familiarity with ubiquitin ligase and kinase signaling pathways. About the Department Pharmacology The Department of Pharmacology at the University of Minnesota is
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Qualifications Doctoral degree in cell biology or molecular biology with extensive experience in cloning, protein purification, enzymatic assays and genetic engineering, with demonstrated knowledge on signal
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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leadership and be a focal point for the strengthening of neuroscience across the University by enhancing research, educational, and funding opportunities. Intentionally improve inclusivity by valuing diverse