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pregnancy and birth cohort data to investigate how metabolic and molecular characteristics during pregnancy contribute to maternal and offspring health across the life course. Current projects integrate
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populations, including LGBTQIA+ populations. More specifically, we use a network-science lens and implementation science approaches in our work. Postdoctoral Associate will be involved with data collection
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populations, including LGBTQIA+ populations. More specifically, we use a network-science lens and implementation science approaches in our work. Postdoctoral Associate will be involved with data collection
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mentorship of Dr. Lo Re through contributing to NIH and other HHS -funded research in the areas of pharmacoepidemiology, medical devices, and use of real-world data. The Postdoctoral Research Fellow will lead
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settings, as well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building
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, and agricultural impacts, among others. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates
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development. The Postdoctoral Associate may analyze and interpret data on health outcomes, treatment need, and/or utilization, as well as health and social drivers, from a variety of administrative and
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academic or industry careers. Key Duties: 60 % 1. Conduct research on RNA -targeting type VI CRISPR -Cas systems. 15 % 2. Analyze research data and prepare manuscripts
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neural data. The Postdoctoral Associate will perform research on cortical and downstream circuit mechanisms that support sensory-guided behavior using psychophysical training, in vivo multichannel
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neural data. The Postdoctoral Associate will perform research on cortical and downstream circuit mechanisms that support sensory-guided behavior using psychophysical training, in vivo multichannel