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crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based on powder diffraction, neutron diffraction, or scattering data will also be
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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interest may be considered, a priority will be given to those able to relate to one or several of the above topics. For more information on the research directions, applicants are encouraged to check
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family. About NYU Abu Dhabi NYU 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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Information Theory. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in