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of machine learning, data science, or related fields, particularly those that align with or complement the program’s existing research strengths in: Geometry, Topology and Algebra. Examples of fields
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Post-Doctoral Associate Employment at NYUAD
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a research context. Proficiency in programming languages relevant to AI and robotics (e.g., Python, LabView, Matlab, C/C++). Demonstrated knowledge in data science and machine learning techniques
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing