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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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Artificial Intelligence (CIDSAI) at New York University Abu Dhabi seeks to recruit a Postdoctoral Associate under the supervision of Professor Hanan Salam to work on the development of frameworks, tools, and
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Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare
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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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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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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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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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from individuals who have or will soon receive a PhD in Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final
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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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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