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models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints
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for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a Doctoral degree from a recognized institution in Electrical, Mechanical, Naval
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to recruit a Post-Doctoral Associate (PDA) who will conduct research on the physical layer design of optical wireless communication systems as enablers of wireless access/backhaul of 6G and beyond networks
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Associate will also contribute to reporting, communications, and stakeholder engagement across Malaysia and neighboring countries, while serving as a scientific representative of the NYUAD-OceanX partnership
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and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems, with particular emphasis on smart mobility and urban transportation networks. In particular
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interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science, Computer Science, Computational Social Science, Information
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develop data and metadata platforms to support mission research across the region. The Post-doctroral Associate will also contribute to reporting, communications, and stakeholder engagement across Malaysia