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Posting Detail Information Position Summary Cardiac electrophysiology research to investigate Arrhythmias, Heart Failure and Sudden Death using animal models and donor human hearts. Our group seeks highly
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IBD (including Crohnâ™s disease and ulcerative colitis) using molecular and cell biology, multi-omics technologies, murine models, and human tissues. We currently have three major focuses: 1) Innate
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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for analysis utilizing quantitative data collected from prior trials of prevention programs and frameworks like PBIS, Double Check, Coping Power, MTSS-B, and the R-CITY model. Lead and co-author papers
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predictive models for Alzheimerâ™s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic
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modeling, structural equation modeling, time-series analysis, psychophysiology, or neuroimaging Additional Information: The Department of Psychology within the College of Arts and Sciences seeks a Post
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
/or pathology of disease, 2) Experience in mouse models, particularly of lung disease. 3) Experience and proficiency in some of the technologies described above, and 4) Familiarity with large
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multidisciplinary approach, spanning basic biology and translational medicine using mouse models and patient samples, tackles complex questions with profound implications for human health. Projects are available
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
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Postdoctoral Associate to investigate the neural mechanisms underlying continual learning in humans. The successful candidate will develop computational models examining the tradeoff between task