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learners, both ambitious and team players, have a strong research publication record, and high-level understanding of programming and computer modeling. This postdoc position offers a motivated researcher an
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understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. Responsibilities: Conduct research on the mechanisms underlying
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, with a focus on combination therapies that account for cell-cell interactions. Experimental model systems will include cancer cell lines, organoid/assembloid models, and clinical tumor samples. Projects
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psychometric and longitudinal models for study of human development. The postdoctoral scholar would be advised by Prof. Nilam Ram (link is external) (Psychology & Communications, The Change Lab (link is
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study of ECE and policy impacts. Strong data analytical skills using advanced statistical methods (such as mixed effect models, multilevel modeling, structural equation models, longitudinal modeling, etc
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. We are seeking a talented and motivated postdoctoral scholar to join our research team in developing state-of-the-art deep learning models
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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models
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labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not
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to evaluate and model the health consequences of emissions of NOx, benzene, CO, and additional gaseous pollutants from natural gas stoves and other appliances. The exposure measurements and modeling will build