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learning, reinforcement learning, transformer architectures and large language models. - Analytical many-body and quantum information theory: replica field theory approaches to monitored and noisy quantum
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Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures
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health, architecture, geography, sociology, disaster/emergency management, or a closely related field. Preferred: Demonstrated research experience related to housing policy, disaster risk and recovery
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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the underlying architecture and causal factors of human diseases such as cancer, aging related outcomes and sepsis. Key responsibilities for the postdoctoral associate position include methodology and software
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems