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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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novel materials in several research thrusts: i) development of advanced manufacturing processes for low-cost battery cathode active materials production for lithium-ion batteries, ii) understanding and
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future advanced applications of diamond electronic and quantum devices and sensors. Fundamental studies using highly controlled exposures of selected (e.g., Cl and O) neutrals and/or ions in ultrahigh
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project studying the neurocomputational basis of reinforcement learning in rodents. The project, in collaboration with the Berke and Frank labs at UCSF, combines advanced system neuroscience and
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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information about the lab, please visit https://mesa-lab.org/. Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging to investigate: 1) How immune cells localize
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systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and data dissemination capabilities for making high-resolution earth system
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employees. An integrated, evidence-informed model guides all UHS practices and services. UHS leverages clinical encounters and prevention efforts into meaningful opportunities for our members to learn about
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methodologies for modeling and analyzing spatially embedded networks. This project aims to advance the understanding of infrastructure systems by leveraging spatial networks to capture complex interdependencies
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novel materials in several research thrusts: i) development of advanced manufacturing processes for low-cost battery cathode active materials production for lithium-ion batteries, ii) understanding and