1,430 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions in United States
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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Post Doctoral Fellow - Biostatistics and Data Science - (2600002N) POSTDOCTORAL FELLOW: The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is
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Position Overview School / Campus / College: School of Medicine Organization: Psychiatry and Behavioral Sciences Title: Research Assistant Professor- The BRiTE Center | Psychiatry & Behavioral
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, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
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in Ithaca, NY with a focus on developing deep learning algorithms. Dr. Haiyuan Yu, Ph.D. is a Tisch University Professor of Computational Biology in the College of Agriculture and Life Sciences and a
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Associate I, Information Science Posting Number req25315 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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The Data Science and Learning Division (DSL) of the Computing, Environment and Life Sciences Directorate (CELS) and the Materials Science Division (MSD) of the Physical Sciences and Engineering
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis