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Lab The EMERGE lab at NYU is seeking to hire a postdoc to work on scaling and deploying end-to-end RL planning agents for autonomous vehicles. Based on prior work on creating high performing self-play
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in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period. Projects in the Pascual lab fall into two main areas: (1
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: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine
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: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine
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currently has 15 faculty members and 20 postdocs and research associates; most are members of the Center for Astrophysics and Space Science (CASS). The group shares links with staff at NYU in New York
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requirements include: Strong background in wireless communication systems and networks Expertise in physical layer and MAC layer design for wireless systems Proven track record of publications in relevant IEEE
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conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a
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network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic
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-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
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mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial