35 modelling-complexity-geocomputation Postdoctoral research jobs at The University of Arizona
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work will focus on the modeling and interpretation of transiting exoplanet and host star data from JWST, and the upcoming Pandora mission. The Eyes on the Stars JWST Archival program aims to study host
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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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, demonstrated by a strong publication record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or
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both rodent models and the human disease. They have recently discovered alterations in the expression and localization of key drug transporters in NASH resulting in altered disposition of drugs and
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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Qualifications Preference will be given to applicants with documented experience conducting agrivoltaics research, working within a convergent research setting, and using spatio-temporal models. Experience working
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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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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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machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations. Designed and
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algorithms, and machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations