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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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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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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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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
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Tucson, AZ USA Position Highlights The Lunar & Planetary Laboratory at the University of Arizona has an opening for a Postdoctoral Research Associate I in the field of modeling of planetary atmospheres
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single cell RNA sequencing, together with the use of innovative mouse models we have developed. Examples of the type of work that will be undertaken can be seen by our papers by Abdel-Hafiz (Nature. 2023
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& Responsibilities Plan, design and conduct advanced, multi-disciplinary research involving the use of mouse models, human tissue and blood samples. Apply cutting-edge technologies including spatial multi-omics