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Field
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly established center, it represents a timely initiative that aligns closely with the UAE’s vision to lead in
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our research institute and the project ALANIS, your work will be tightly embedded into an interdisciplinary and inter-institutional network. As a postdoctoral researcher in coupled hydrodynamic
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materials (SCMs). By coupling clinker reduction with permanent CO₂ mineralization, this innovative approach not only lowers embodied carbon but also enables concrete to act as a net carbon sink. The C-Sink
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of multifunctional soft robotic systems Track 2: Soft optical actuator and network Design and fabrication of high-performance soft optical actuator Design, modeling, and fabrication of soft optical network for light
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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networking technologies (desirable) experience with hyperspectral imaging systems, spectroscopic instrumentation, or multi/hyperspectral data analysis (desirable) knowledge of communication protocols, signal
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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relevant field Strong publication record in international peer-reviewed journals Excellent communication skills (oral and written) in English Proficiency in relevant research methodologies (advanced
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multiple brain regions interact with each other, or networks. Furthermore, we are focused on identifying factors affecting the plasticity of these representational networks, and the degree to which they can