106 evolution "https:" "https:" "https:" "https:" "https:" "https:" positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing
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qualified and motivated Research Scientist (RS) to lead the experimental development of cognitive omni-band wireless systems for 6G and beyond. The successful candidate will be jointly supervised by Mahmoud
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. Principal Responsibilities The PDA will conduct research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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another postdoctoral researcher who is leading a selective breeding program for heat-tolerant corals. Together, these efforts will support the development of robust coral populations capable of withstanding
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Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek to hire a new research assistant to work in any of the CIDSAI/CAMeL research areas, to be involved in the development
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for the early detection of cardiovascular diseases. Responsibilities of the position include the development of 2D materials-based biosensors for the detection of miRNAs. The candidate will work in a
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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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an emphasis on projects related to fiscal and institutional development. The ideal candidate will possess advanced methodological skills, including experience managing and analyzing large, complex datasets, as