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to optimize training and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer
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, United States of America Subject Areas: Statistical Machine Learning/Computer Science Appl Deadline: (posted 2024/11/26, listed until 2025/05/26) Position Description: Apply Position Description The Statistical Machine
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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properties of the Higgs boson. The group focuses on final states containing several tau-leptons. The analysis activity is now extended to include generic anomaly searches using Machine Learning. Furthermore
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anomaly searches using Machine Learning. Furthermore, the group takes part in ATLAS upgrade, with participation in the ITk-Pixels project, with responsibilities concerning testing and delivery of pixel
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transplantation. We are looking for a highly motivated candidate with a PhD degree interested in using microbiological methods with the aim of developing novel strategies to improve bone marrow transplantation and
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before application deadline. Strong programming skills and experience with AI, computer vision, image analysis and deep learning are advantages. Knowledge of hematology, cytology and pathology is a plus
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other public events. Required Qualifications: Ph.D. in computer science, physics, data science, or closely related field; Experience in data mining and machine learning, or experience with agent-based
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The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas
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and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and