11 advance-soil-structure-modeling Postdoctoral positions at The University of Memphis
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preferred. Experience in custom coding, advanced statistical modeling, GIS will be preferred. Outstanding candidates with expertise in related areas will also be considered. Primary Responsibilities
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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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program. The Zhang lab conducts research using cell culture, animal models, and non-model organisms. The position is a full-time (12 month) appointment. The University offers an excellent benefits package
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-Time Faculty Department Civil, Construction, and Environmental Engineering Position Summary Opening for a Post-Doctoral Researcher in Water Resources Engineering – Development and Implementation of a
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oral and written communication skills. Special Conditions The department is especially interested in candidates who have research experience in electronic structure theory development and/or enzyme
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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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, 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