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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation
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developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic
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. The central goal of the laboratory is to study the neural mechanisms involving dynamic RNA modifications during cognitive development and decline. To achieve this, research projects rely on the use of a
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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-quality and innovative research primarily focused on Control theory and ML methodologies for Field Robotics; Support the supervisor in developing and implementing the research agenda; Reproduce results
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic
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developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic
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the UAE and abroad. Key responsibilities Conduct high-quality and innovative research primarily focused on Control theory and ML methodologies for Field Robotics; Support the supervisor in developing and
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for urban networks, bridge the gap between scientific significance and practical value, and further develop the human capital to propel the city of Abu Dhabi and the UAE into a more prosperous and sustainable
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develop the human capital that will propel the city of Abu Dhabi and the UAE into a richer and more sustainable future. CITIES leverages the expertise of faculty members from the four divisions of NYUAD and