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experience is strongly preferred. Familiarity with pitcher plants and/or inquiline mosquitoes is a distinct plus. The independence to drive a project forward, paired with the collaborative instincts to thrive
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collaborative environment. Highly motivated, passionate about science, and able to learn independently. Experience with neuroimaging software (e.g., jMRUI) and research platforms (e.g., REDCap, Qualtrics
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. Well organized, detail-oriented, able to manage multiple projects simultaneously, prioritize tasks to meet deadlines, and work effectively in a collaborative environment. Highly motivated, passionate
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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significantly. Devote 50% research time to arginylation research. Use 50% research time for independent interests and collaborations. Design, develop and perform enzymatic and cellular assays. Write papers and
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five
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learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes