48 modelling-complexity-geocomputation Postdoctoral positions at The University of Arizona
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models. Analyze large proteomic datasets. Contribute to manuscript preparation and publication. Present research findings at lab meetings, departmental seminars, and conferences. Minimum Qualifications
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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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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 experienced in mentoring
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for designing accelerated shelf-life studies. Develop, design, and conduct complex research projects. Perform scientific data collections, reductions, and analyses involving routine procedures characterized by
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membranes. Apply DOE statistical techniques for designing accelerated shelf-life studies. Develop, design, and conduct complex research projects. Perform scientific data collections, reductions, and analyses
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, including participant recruitment, measurement, and ethical research practices. Skill in quantitative data analysis, statistical modeling, and data visualization using R, SPSS, or related programs. Skill in
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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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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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Community Velocity Models, quantify model uncertainties, integrate non-tomographic constraints on crustal structure, and identify key observational gaps by comparing synthetic waveforms to recordings from
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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