12 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral research jobs at The University of Memphis
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in applied mathematics, field methodologies in unconsolidated sediments and/or numerical modeling is preferred. Candidates should have a publication record in hydrogeology and/or related fields
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not limited to are impact of technology on traffic safety and operations. Experience in operation research and advanced statistical modeling will be preferred. Outstanding candidates with expertise in
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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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, FTIR, AFM Thermal analysis: DSC, DMA, TMA, TGA Electrochemical methods (e.g., Electrochemical Impedance Spectroscopy) are a strong plus 4. Conductive Polymers and Molecular Modeling Research
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Posting Information Posting Number FAE1633 Advertised Title Post Doctoral Position Campus Location Main Campus (Memphis, TN) Position Number L22130 Category Full-Time Faculty Department Mathematical
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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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implementation of various components of a dialogue-based tutoring systems including but not limited to dialogue manager, semantic interpreter, question generator, student model, and domain model; help with
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well as experience in cell culture models, animal genetics and data analysis is beneficial. Salary is commensurate with education and experience. Competitive benefits package included. Minimum Position Qualifications
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the physicians at LifeDoc Health, a non-profit healthcare provider. Responsibilities focus on data analytics and econometric modelling of patient-level data (encounters, outcomes, etc.) and an assessment
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, please browse https://www.memphis.edu/fcbe . Minimum Position Qualifications Candidates must have a PhD or equivalent in a business or related field and experience in working with large datasets