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Field
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https
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. • Demonstrable experience in Artificial Intelligence (publications or code development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical
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record relevant to the topic - publications in top journals or conferences (e.g. computer vision (CVPR/ICCV/ECCV), machine learning (NeurIPS/ICML), or robotics (ICRA, IROS, RSS, CoRL; IEEE-TRO, IJRR
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. Working Title EEO
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visualizations, manuscripts, and conference presentations for dissemination of project results. Required Qualifications PhD in plant biology, genetics, genomics, bioinformatics, computational biology, or related