9 application-programming-android-"Prof" Postdoctoral positions at The University of Memphis
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                will be given to candidates in functional analysis, especially those whose research programs and interests are compatible with current U of M faculty in the area of analysis and their applications 
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                College of Engineering Position Summary The Center for Applied Earth Science and Engineering Research (CAESER) at the University of Memphis invites applications for a postdoctoral fellow position in civil 
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                as well as have the opportunity to participate in future grant proposal development as part of the post doc mentoring plan. Application Materials A cover letter with a brief summary of research 
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                the University of Memphis invites applications for a Postdoctoral Research Associate position to begin in October 2025. The initial appointment is for one year, with the potential for a second-year extension based 
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                of Civil, Construction and Environmental Engineering at the University of Memphis invites applications for a postdoctoral fellow position in transportation beginning as soon as possible in the broader area 
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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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                communication skills, are critical for success in this position. The successful applicant will be primarily responsible for data generation and analysis associated with a variety of comparative genomic 
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                tutoring sessions for the use of the software (4) co-advise graduate students, and (5) collaborate with writing research manuscripts and research proposals. Applications are to be submitted via https 
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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