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, with particular emphasis on smart mobility and urban transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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Engineering, or any closely-related field. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential. NYUAD offers a stimulating
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks to hire a post-doctoral researcher to work in any of the lab research areas, to be
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. Experience in membrane fabrication and characterization. Excellent analytical and problem-solving skills. Strong communication skills, both written and verbal. Ability to work both independently and as part of
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-solving skills. Team player with good communication skills. Proficiency in English. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement
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for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi