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POSTDOCTORAL POSITIONS are available for research on mucosal immunity, intestinal immune homeostasis/intestinal inflammation, and innate immunity. The laboratory investigates mechanisms regulating innate immune
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School of Medicine to investigate novel molecular mechanisms governing stress responses and virulence in Salmonella Typhimurium. Candidates must: * have strong Ph.D. training within the past two years in
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— such as selective translation, transport, phase separation, and localization—that enable cells to respond to mechanical stimuli. This project will explore RNA-based regulatory mechanisms in
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a particular focus on cytokine-based drugs, using immune competent murine models and human cell culture systems for early drug development. We also study mechanisms and determinants of immune related
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understanding the mechanisms of ovarian aging, gene therapy for primary ovarian insufficiency, and discovering new genes that underlie primary ovarian insufficiency/diminished ovarian reserve. These studies range
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, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify
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mechanisms in RNA-guided processes, and to develop novel genome editing applications based on the mechanistic understanding. Research details can be found in our laboratory and departmental web sites
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work spans ovarian aging, cardiovascular disease, and therapeutic interventions, with a focus on deciphering cellular dynamics and molecular mechanisms driving tissue remodeling, ultimately to identify
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) the mechanisms by which social and emotional skills and training impact significant life outcomes. We are looking for a Postdoctoral Associate to join our research team, working on a longitudinal study funded by
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questions. Our overall aim is to investigate mechanisms of cellular damage, and to understand their consequences for human health and disease. We wish to recruit a motivated individual to participate in data