23 modelling-complexity-geocomputation Postdoctoral positions at The University of Arizona
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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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subject areas are preferred: drug/xenobiotic metabolism, transgenic mouse models, pharmacokinetics, mass spectrometry, genomics and metabolomics, lung diseases (inflammation, fibrosis, and cancer
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techniques, mouse models, human specimens, and bioinformatics. We are looking for applicants with wet lab immunology research experience driving the successful completion of projects and authoring peer
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on suitability modeling and evidence of biocrust presence from the published literature suggest that these photosynthetic soil communities make up 12% of Earth’s land surface. Despite their global extent and
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. Demonstrated capabilities for analyzing and evaluating data. Prior experience in salivary gland tissue models. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.00 Work
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supported by multiple NIH R01 grants and focuses on molecular immunology and inflammatory mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples
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research experiments under the direction of the principal investigator, Dr. Bibb. Develop, design, and conduct complex research projects. Perform scientific data collections, reductions, and analyses
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neuroscience research including performing behavioral experiments and electrophysiological recordings in animal models, Ability to work with a high degree of independence, to find creative solutions
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proteins on brain circuits controlling puberty and fertility are a key focus. Research is conducted in mouse models, addressing the interaction of hormones and neuropeptides in coordinating the brain’s
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and