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Field
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Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 – including leaders
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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 on cancer
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 11 hours ago
their field of study Engage with new areas of basic and applied research Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community
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encoded Ca²⁺ indicators, electrophysiology, molecular biology, optogenetics/chemogenetics, and transgenic mouse models to understand how cellular signaling networks coordinate normal gut motility and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
to characterize receptor complexes, G protein signaling networks, kinase-mediated regulatory mechanisms, and downstream signaling events. Research efforts will focus on understanding the molecular basis of GPCR and
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regulatory networks from single-cell genomics data, including RNA-seq and ATAC-seq, and to predict phenotypic outcomes of genetic perturbations. Our work primarily uses the model plant Arabidopsis. Funded
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highly collaborative research team dedicated to advancing our understanding of epilepsy, sleep physiology, and neural networks through cutting-edge clinical and translational research. Working alongside
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, pneumonia, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
. The position is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators
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forests, gradient-boosting methods, PLS-based approaches, neural networks, or related methods is preferred. Experience with feature selection, model interpretation, cross-validation, external validation