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modeling and characterization for communication and sensing in emerging spectrum for 6G and beyond, with a focus on the FR3, THz and optical frequency bands. This research will be conducted under the joint
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, beamforming techniques for FR3 and THz bands, reconfigurable intelligent surfaces (RIS), and integrated sensing and communications (ISAC). The research methodology will involve the development of mathematical
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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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play a pivotal role in Dynamic Nuclear Polarization (DNP) sensing, a technique that significantly enhances nuclear spin signal. Candidates will contribute to the development of new classes of organic
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of novel self- sensing concrete with a dual capability of self healing through the integration of smart technologies. The successful applicant will work on four main areas leading to the success
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collaboration between multiple research groups and involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health
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. The Postdoctoral Research Associate will support the center's goal of developing smart and sustainable solutions for sensing and diagnostics in the oil/gas industry, as well as structural and mechanical
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Postdoctoral Associate in the Division of Engineering (Civil and Urban Engineering) Dr. Tarek Abdoun
Bioremediation and geoenvironmental engineering Geohazards risk assessment and management via remote sensing Energy geotechnics Advanced experimental testing and field instrumentation Research Project
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Geohazards risk assessment and management via remote sensing Energy geotechnics Advanced experimental testing and field instrumentation Research Project: The successful applicant will lead a fascinating
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devices for sensing applications. The Post-Doctoral Associate will work under the supervision of Dr. Panče Naumov (Center for Smart Engineering Materials (NYUAD-CSEM) ) on preparation of materials and