64 phd-mathematical-modelling-population-modelling Postdoctoral positions at The University of Arizona
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Responsibilities Research and scholarly activities: Conduct independent and collaborative research. Design experiments, develop models, and analyze results. Maintain accurate records of methods, data, and results
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& Responsibilities Duties and Responsibilities Research and scholarly activities: Conduct independent and collaborative research. Design experiments, develop models, and analyze results. Maintain accurate records
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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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, 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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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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Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role
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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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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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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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, 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