11 machine-learning-modeling-"Linnaeus-University" Postdoctoral positions at The University of Memphis
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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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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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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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technologies in the areas of human language processing, machine learning, and virtual agents are needed. Knowledge of Java and Python and experience with cross-platform system administration is necessary
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modeling. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information from published literature, development of classical machine-learning models
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letters) for at least three professional references. Applicants can learn more about the Department of Biological Sciences at the University of Memphis and the Mandel lab at https://www.memphis.edu/biology
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, instructional designs, and supporting tools (including applications of AI) to enhance learner outcomes in the acquisition of beginning-to-advanced computer programming and software development skills. The post
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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