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working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Develop novel ML / AI models and techniques for analysis of longitudinal time series data
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lung injury to both neonatal and adult lung using rodent models and in vitro cell culture techniques. Allergen based asthma models are also being studied. Pathobiological aspect involves investigating
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progression and metastasis, and the combination of radiation treatment with immune checkpoint inhibitors in anti-cancer therapy. The positions will involve the use of animal models, human cell lines, and
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the Department of Energy (DOE) for the first sponsored The ICDI Emerging Tech Postdoctoral Program. The selected candidate will work on an exciting interdisciplinary project focused on developing predictive models
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homeostasis. Using mouse models, histology, cell culture, differential expression analyses, and molecular biology assays, our lab studies the molecular mechanisms that regulate metabolic processes and iron
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to estimate ET water loss, while analyzing various other existing ET products. Advancing hydrological models (e.g., the National Water Model, land surface models) with machine learning techniques to improve
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learning models and explore deep learning-empower solutions to securing next-generation cyber systems. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits
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model, web maps, and geovisualizations for Cosmic Explorer that assists scientist’s in spatial decision making. Throughout your postdoctoral journey with us, you will be encouraged to conduct your own
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cancer models with the aim of eventually developing new small molecules or other therapeutic interventions that can successfully target malignant cells. To dissect cancer-specific vulnerabilities, we will
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viral and microbiome studies. Apply statistical models to analyze genomic, ecological, and disease data, including species diversity analyses. Prepare and submit manuscripts for peer-reviewed journals and