10 cloud "Computer Vision Center" "Computer Vision Center" "Computer Vision Center" "Computer Vision Center" Postdoctoral research jobs
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performance and funding availability. VISION Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance
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Geospatial Artificial Intelligence (GeoAI) under the supervision of Dr. Wenwen Li. The successful candidates will work at the intersection of cutting-edge AI (e.g., computer vision, generative AI, large
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-performance computing, cyberinfrastructure, data-intensive computing, computer vision, digital agriculture, or scientific computing. Record of scholarly productivity appropriate to career stage, including
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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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University of New Mexico’s Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source
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Requisition Id 16764 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of
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will contribute to developing and improving the performance of next-generation thermal systems—including HVAC, water heating, and data center cooling—at both the system and component level. This
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large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment Experience with human-in-the-loop
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• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Biology, or a related quantitative or biological field. • Strong programming skills in one or more of Python, R, and Bash
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collaborate closely with clinicians and translational researchers at Cook Children’s Medical Center, applying computational approaches to real-world clinical questions in pediatric precision oncology and