15 parallel-computing-numerical-methods-"DTU" research jobs at The University of Memphis
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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sediments and/or numerical modeling is preferred. Candidates should have a publication record in hydrogeology and/or related fields. Knowledge of traditional groundwater/surface water instrumentation
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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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Posting Information Posting Number FAE1493 Advertised Title Post-Doctoral Researcher, Computer Science Campus Location Main Campus (Memphis, TN) Position Number 023558 Category Full-Time Faculty
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to obtain better understanding of human decision-making, emotions, and behavior in consumption and managerial contexts. The research program promotes use of multi-method research designs that motivate new
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portfolio. · Apply knowledge and experience in research design, intervention development, and analytic methods to program development. · Teach one to two public health courses each semester as per the SPH
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areas of health communication, health informatics, digital health, health equity, health policy, and/or public health interventions to join our interdisciplinary collaborative team. Successful candidates
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Computer Science Position Summary The University of Memphis Department of Computer Science is seeking a Post Doctoral Research Fellow (post-doc) in the area of Computing Education Research (CER). Under
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given to applicants with a strong publication record and experience in biochemistry and molecular biology. Experience using complex analytical methods such as RNA-Seq, ChIP-Seq, and metabolomics, as
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with optimization techniques and accelerated computing are a plus for this position. Strong written and spoken English skills are required. The successful candidate will: (1) develop novel methodologies