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)." Successful applicants for this position will have the opportunity to work on cutting-edge research at the intersection of reinforcement learning (RL), world models, embodied intelligence, and human learning
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research Ireland within the School of Computer Science and Information Technology and this position
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24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by
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include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu
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Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in
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an intelligent DAS-based monitoring system for railway infrastructure anomalies and rolling stock integrity, with a focus on the detection and monitoring of defects in bonded insulation joints and switch tip