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Field
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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algorithm code base including noise reduction, acoustic echo cancellation, automatic gain control, voice activity detection, packet loss compensation and other audio enhancements Software development of new
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), Prof. habil. Oliver Ernst (TU Chemnitz, Germany), and Dr Youssef Marzouk (Massachusetts Institute of Technology, USA). The project aims to develop the next generation of Bayesian algorithms for large
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support all aspects of the research project. Carry out algorithmic development and data analysis, including (but not limited to) single-cell and spatial transcriptomics. Implement state-of-the-art
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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to interdisciplinary AI research, faculty engagement, proposal development, and strategic initiatives. Through these efforts, the position will foster collaboration, increase effective use of shared computing resources
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collaborative research on humanoid robotics, including simulation, motion generation, and control Develop and implement algorithms leveraging computer graphics techniques (e.g., physics simulation, character
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to the electrification applications including electrical motor drives for transportation systems (land and sea) Thermal/cooling management, integrated (inverter-motor) system design and development, motor (vernier and
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for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms
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research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization