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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by
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to recruit a postdoctoral associate to work on membrane surface patterning for water treatment applications, under the supervision of Dr Daniel Johnson, Assistant Professor of Engineering and Co-PI
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at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will
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report to Prof. K.J.Kyriakopoulos in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associate will engage with our regular collaborators
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phenomenology related to neutrino physics, Higgs physics, BSM, cosmology and astroparticle physics. The successful candidate is expected to take a leading role in the research projects in particle physics
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of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing
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researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key
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expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment
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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints