14 scholarship-phd-agent-based-modelling Postdoctoral positions at The University of Memphis
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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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urge all qualified applicants to apply for this position. Appointment will be based on qualifications as they relate to position requirements without regard to race, color, national origin, religion, sex
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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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data to get University of Memphis patented technologies ready for market. Fellows should hold a PhD degree in an area of science related to the technology targeted for commercialization and be able
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Connectivity-based Framework Aimed at Prioritizing the Location of Stormwater Control Measures in Urban Watersheds The Research Group of Dr. Claudio I. Meier at the Department of Civil Engineering, University
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employer. We urge all qualified applicants to apply for this position. Appointment will be based on qualifications as they relate to position requirements without regard to race, color, national origin
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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