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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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, cerebral metabolism, and cognitive functioning in models of hypertension and preeclampsia are ongoing with support from a Javits Neuroscience Investigator Award from the National Institute of Neurological
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Academy of Engineering) and is fixed-term for 5 months. You will join the design by fundamentals team, developing material models to guide fusion reactor design. You will be responsible for performing
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful. This work will involve developing and applying interpretability
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The Monroe group at the Oxford University Department of Engineering Science seeks a full-time Postdoctoral Research Associate. This post is funded by the Faraday Institution Multiscale Modelling
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biochemical datasets. A major focus will be on introducing new AI models to chart the chemical “dark matter” of the mammalian metabolome; examples of such models include large supervised or self-supervised AI
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at a fraction of the computational cost. Recently Argonne successfully implemented, AERIS, a state-of-the-art seasonal-to-subseasonal (S2S) weather model AI model. A successful candidate will collaborate
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low socioeconomic backgrounds. The project employs a qualitative research design and is guided by the Vygotskian concept of perezhivanie and sociocultural models of learning. The project is led by
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Postdoctoral Research Associate, you will have the opportunity to work closely with several faculty members: Daewook Kim and Ewan Douglas. Your work will focus on problems in optical design, modeling, and