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to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent narrowband and wideband signal models for these frameworks, and use them to analyze key performance indicators
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metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent
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) Organize and manage the HSA election process, including information sessions, application reviews, and public announcements. Mentor elected HSA representatives, supporting their leadership development and
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Helleringer at sh199@nyu.edu . The review of applications will start on February 1st, 2026, and will continue until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the
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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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will begin immediately and continue until the role is filled. The earliest start date for this position is January 1st, 2027. About LANDMark (Land Assets, National Development and Markets) This project
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and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required
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for regional partners. The position includes supporting pre and post mission workshops, strengthening stakeholder engagement, and contributing to the development of regional scientific networks. The Associate
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learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications
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. The candidate must be self-motivated, an independent thinker, fluent in English, and have well-developed writing skills. The position is open to applicants with a master’s degree in any social science discipline