15 condition-monitoring-machine-learning Postdoctoral positions at The University of Memphis
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Computer Engineering Position Summary Application Deadline Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date
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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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should have a Ph.D. (or have successfully defended their dissertation prior to the start date) with a background in water resources (not necessarily from Civil Engineering). Special Conditions A background
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supervising research staff, monitoring budgets, coordinating administrative reports, and meeting grant requirements. · Prepare and publish collaborative manuscripts to support the SPH research and grant
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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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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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, color, national origin, religion, sex, age, creed, sexual orientation, gender identity/expression, genetic information, disability, veteran status or any other legally protected class. Minimum Position
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, religion, age, sex, disability, or veteran status. Successful candidates must meet guidelines of the Immigration Reform and Control Act of 1986. Questions should be addressed to the Chair of the Search
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, veteran status or any other legally protected class. Minimum Position Qualifications Candidates should have a Ph.D. with a background in Civil Engineering, Environmental Engineering, or Hydrology or have