12 modelling-complexity-geocomputation Postdoctoral positions at Saint Louis University
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innovative research focused on developing and modeling of multiphysics solutions to complex problems in porous materials. Candidates with a background in experimental and/or numerical multiphysics modeling
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of multiphysics solutions to complex problems in porous materials. Candidates with a background in experimental and/or numerical multiphysics modeling of porous media, applicable to both terrestrial and
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of multiphysics solutions to complex problems in porous materials. Candidates with a background in experimental and/or numerical multiphysics modeling of porous media, applicable to both terrestrial and
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independent lab work and have a strong record of scientific productivity. He or she should be able to think critically about complex problems and contribute to a team-working environment to advance research
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University to study the connections between lipid load, mitochondrial biology, and cardiac arrhythmias in animal models of cardiomyopathy and heart failure. The position entails working with C. elegans, in
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considerations in research involving human subjects. PREFERRED QUALIFICATIONS Expertise in epidemiological methods and study design. Experience with longitudinal data analysis and complex survey design
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hepatic biology. The project will have translational components. Expertise in liver disease models, matrix biology, bioinformatics and immunology are a plus. The Postdoctoral position is expected to build
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position focuses on investigating gastrointestinal and hepatic biology. The project will have translational components. Expertise in liver disease models, matrix biology, bioinformatics and immunology
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-clinical models Surgical intra-operative monitoring and in vitro and in vivo procedures Tissue dissections and the preparation of specimens for experimental assays Routine molecular biology assays, including
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considerations in research involving human subjects. PREFERRED QUALIFICATIONS Expertise in epidemiological methods and study design. Experience with longitudinal data analysis and complex survey design. Knowledge