21 data-visualization-analysis Postdoctoral positions at University of Central Florida
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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The Opportunity: The Post Doctoral Scholar will be part of a collaborative initiative between the Department of Electrical and Computer Engineering at the University of Central Florida (UCF) and
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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by various funding agencies. For more information about teaching and research in the UCF Department of Mathematics, see https://sciences.ucf.edu/math/ . We are not accepting applications for this job
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addition to the online application, candidates should upload: CV/Resume 3 professional references with contact information The selected candidate will be required to submit official transcripts (and, as applicable, U.S
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, and a list with contact information for three (3) professional references. The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations
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to the Applicants: Please contact Professor Liping Yu at liping.yu@ucf.edu for additional information. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top
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Materials Required: Cover letter CV Research Statement or Relevant Publication Special Instructions to the Applicants: Please contact Professor Mengjie Li at mengjie.li@ucf.edu for additional information
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start on March 2025, and continue until the positions are filled. Please contact Dr. Piotr Mikusinski (piotr.mikusinski@ucf.edu) for additional information. Department College of Sciences (COS