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, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing, wireless/optical communications, and communication system engineering Extensive experience
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of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived
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, statistical signal processing, optimization theory, machine learning and artificial intelligence. The candidate is expected to actively participate in experimental work focused on building datasets of channel
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Abu Dhabi, seeks to recruit a postdoctoral associate to work with Marwa Banna on one or more of the following topics: • Random matrix theory • Free probability theory • High-dimensional probability
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systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms
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theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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Description The Division of Science at New York University Abu Dhabi, seeks to recruit a postdoctoral associate to work with Marwa Banna on one or more of the following topics: Random matrix theory
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is highly desirable. An ideal candidate will have a solid background in physics and chemistry, particularly in the area of statistical mechanics and percolation theory, materials modelling for fluid
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled