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and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in-the-loop simulations, prototype development, and bench-level testing to validate design
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, data-driven and machine learning/analysis, esp in climate related topics. Prior
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available at Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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are to optimize intraretinal stimulation. Using novel carbon fiber array technology, we will stimulate inner retina cells and record evoked responses using imaging and electrophysiology. Multi-channel stimulation
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“Hydrogen storage for maritime and industrial sector.” The position is organized under the Department of Process, Energy, and Environmental Technology and reports to the Head of the Department. The Ph.D
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. Yuan and Dr. Wei in the Department of Computer Science at Boston College are seeking highly motivated postdoctoral fellows to join an interdisciplinary team advancing the frontiers of biomedical image
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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in