67 parallel-computing-numerical-methods Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
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), and cyclic voltammetry to assess membrane properties. Contribute to the development of scalable fabrication methods and explore potential industrial applications. Present findings in lab meetings
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. Successful applicants must have a PhD in a field related to survey methods techniques and transport demand modelling and demonstrated experience with state choice experiments, discrete choice models, virtual
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We
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characterization of materials for energy harvesting and construction materials. The center has access to state-of-the-art computational facilities for high-performance computing, in addition to collaboration
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kyriakopoulos seeks
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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in innovative research that includes: Geometric Control Algorithms: Develop and refine control strategies utilizing differential geometric methods, particularly Riemannian manifolds, to optimize robot
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental