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of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
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Sciences Position Summary The Department of Mathematical Sciences at the University of Memphis (UofM) invites applications for a two-year post-doctoral position in Analysis beginning Fall 2023. Preference
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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Ph.D. (or have successfully defended their dissertation prior to the start date) with a background in transportation (not necessarily from Civil Engineering). A background in applied mathematics and/or
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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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given to applicants with a strong publication record and experience in biochemistry and molecular biology. Experience using complex analytical methods such as RNA-Seq, ChIP-Seq, and metabolomics, as
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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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conferences. Minimum Position Qualifications Must have a Ph.D. in Chemistry, Physical Sciences, Material Science, Chemical Engineering, Applied Mathematics, Computer Science, or related discipline. Excellent
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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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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