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understanding the molecular basis of retinoid metabolism and signaling. Experience in animal models of lung injury, lung cell isolation, lung organoid cultures, immunofluorescent staining of tissues and cells
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in the clinical environment. Writing replicable code for analyzing behavioral and neural data (e.g. modeling behavior, time series analysis, statistical inference). Writing manuscripts to communicate
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. The Institute excels in progressing proof-of-concept studies from cellular and animal models to human trials, ensuring that groundbreaking discoveries reach clinical applications. Recognized for its innovative
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, Code of Conduct, and Conflict of Interest Policy. Understands, demonstrates, and models the Rutgers Cancer Institute of New Jersey core values. Keeps abreast of all pertinent federal, state and Rutgers’s
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products. The associate will also help develop and refine the project’s Theory of Change model, ensuring it aligns with strategic objectives and incorporates emerging insights. As the project evolves in
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The candidate should have skills and experiences in at least one of the following areas: 1) advanced characterization and modeling of pavement materials and mechanistic-empirical pavement analysis, 2) life-cycle
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. Certifications/Licenses Required Knowledge, Skills, and Abilities The candidate should have skills and experiences in at least one of the following areas: 1) advanced characterization and modeling of pavement
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, the Post Doctoral Associate conducts highly specialized and technical research involving animal models of cardiovascular disease. Among the key duties of the position are the following: Works with primary
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pomace, cranberry pulp) into functional dietary fibers and assessing their structural properties and microbiome interactions using human stool samples and animal models. The role also includes graduate and
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/benefits-overview . Posting Summary The Rutgers Center for Advanced Infrastructure and Transportation (CAIT) invite applications for a Postdoctoral Associate position in the area of monitoring and modeling