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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures (http
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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Simulation) will support a one-year applied research project and evaluate a mobile DC microgrid for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB
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for collaboration. You will also have the opportunity to develop your own research project aligned to the interests of the MND group. This could include new machine learning models or exploring a particular aspect of
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of our growing online program offerings. Working with faculty, the Administrator of Online Education maintains course content and learning assets in the University's Learning Management System (LMS) and
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of our growing online program offerings. Working with faculty, the Administrator of Online Education maintains course content and learning assets in the University's Learning Management System (LMS) and
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that can be run. Emulating expensive processes could allow more data to be generated from better models, at lower cost. The central science question is: how can machine learning and evolutionary computation
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technologies, including anatomic models, task trainers, and full-body patient simulators Maintain inventory, troubleshoot basic equipment issues, and perform checks on simulation devices and AV systems Learn
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emerging spectrum (FR3, MMW, sub-THz/THz) Extreme massive MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless