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candidates will work in a multidisciplinary Center environment with world-class research infrastructure, consisting of PhD-level scientists, graduate and undergraduate students. The positions are funded
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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collaborate closely. Applicants must have a PhD in physics or a related field. Excellent analytical skills are required. Prior experience in the experimental techniques used in the lab such as optical tweezers
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of PhD), or Research Associate (more than 3 years of PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural
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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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efforts relevant to wireless technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering
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collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include Expertise in several areas among
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independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant
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multidisciplinary team of researchers and graduate students. The postdoctoral associate will have access to state-of-the-art research facilities at NYUAD. This position supports two interconnected research streams
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: Please submit the following documents in PDF format: Detailed CV Transcripts of Master’s and PhD degrees Research statement (max 2 pages) Three representative publications Contact information for three