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. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques
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must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical
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. The role will involve designing surveys, working with existing datasets, and applying structural models relating to human capital development and labor markets. The position does not require teaching, but it
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Applicants must have a PhD, MD, DDS, or equivalent advanced or terminal degree from a
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, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO
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) to engage in cutting-edge research on the physical layer design of next-generation wireless communication systems, with a primary focus on 6G technologies. The research will particularly emphasize spectrum
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applicants will lead the labs efforts in action-less design, continual learning, planning with world models, and contrastive RL. Our laboratory has expertise in deep learning, including deep reinforcement
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the Center for Behavioral Institutional Design (CBID), thereby offering many opportunities for collaboration, idea exchange, and research visibility. The position offers a highly competitive salary, generous
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: Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple environments, hardware platforms, and frequency bands Develop, validate, and document ISAC channel modeling
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and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular