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activated sludge and soil microbial communities to assess degradation kinetics, identify and quantify fluoride and fluorinated organic byproducts using NMR and mass spectrometry, identify the organisms
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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Preferred Qualifications Previous research experience in soil sample analysis (e.g. hydraulic conductivity, porosity, bulk density) Experience with GIS programs, including ArcGIS Understanding of global and
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