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to recruit a Post-Doctoral Associate (PDA) to engage in cutting-edge research on the development of omni-band wireless systems for 6G and beyond. The PDA will be jointly supervised by Elza Erkip, Qurrat-Ul-Ain
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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that interface with human stem cells, investigate cellular and molecular mechanisms governing development and pathology, lead experiments from conception through publication in high-impact journals, mentor
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of the principal investigator, successful candidates will be encouraged to develop independent research projects as part of training for an independent research career. Candidates must hold a Ph.D. in Psychology
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at leading international conferences. The PDA is expected to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant to wireless
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Description The Water Research Center at New York University Abu Dhabi seeks to recruit a postdoctoral associate to work on the development of responsive membranes with in situ switchable properties
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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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Responsibilities The PDA will conduct research to design and develop optical wireless communication systems. This involves the development of mathematical models for signal transmission/reception, derivation