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will be given to candidates in functional analysis, especially those whose research programs and interests are compatible with current U of M faculty in the area of analysis and their applications
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communication skills, are critical for success in this position. The successful applicant will be primarily responsible for data generation and analysis associated with a variety of comparative genomic
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
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strong business analytics/data analysis skills. The research fellow will partner with FCBE and Management faculty in data analysis, manuscript preparation, and grant proposal submissions on topics such as
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biology. You will join a NIH-funded multi-institutional collaborative team focused on the roles of physiological aryl hydrocarbon receptor (AHR) ligands in skin formation and function. Preference will be
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the design, implementation, and data analysis of various experiments needed to fulfill the mission of the project; interact with members of the project team, supervise graduate students, publication and
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other FCBE labs (e.g., Customer NeuroInsights (C-NRL), in data analysis, data support, manuscript preparation, and grant proposal submissions on cross-disciplinary business topics. Fellows are expected
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in topic areas such as applied economics and policy analysis, healthcare innovations, tech-econ and economics analytics, and econometrics. There is substantial collaborative research with other