35 modelling-complexity-geocomputation Postdoctoral research jobs at The University of Arizona
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include
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mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly
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. Develop, design, and conduct complex research projects. Perform scientific data collections, reductions, and analyses involving routine procedures characterized by use of independent judgment. Foster
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, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules
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capable of research combining experimental characterization with computational modeling of process--structure--property of structural alloys (aluminum, steels, superalloys). Desired qualifications include
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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory
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here . Duties & Responsibilities Perform independent multi-disciplinary research experiments under the direction of the principal investigator, Dr. Yamoah. Develop, design, and conduct complex research
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Address 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
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and focuses on molecular immunology and inflammatory mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA
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and focuses on molecular immunology and inflammatory mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA