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Position Summary Postdoctoral Research Associate position open in the Tom Lin Lab (Biochemistry Department) working on Post-translational Arginylation. The Lin Lab is seeking a postdoctoral
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candidate will take ownership of their research project(s) and drive the project(s) forward through well-designed experimentation and data interpretation, while maintaining high work ethics. In this position
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of viruses and the infected organism will expose you to a diverse array of techniques and tools, as well as to rich intellectual diversity. Job Description Primary Duties & Responsibilities: Information
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for treatment of pulmonary vasculopathies. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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Amargant, et al., 2022, Trends Cell Bio). Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective
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processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber photometry, and custom
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, genetics, and genomics, are all welcome to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective
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career. Used when the appointee performs specific services on a grant or contract in exchange for compensation. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection