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: The information content of artificial neuronal networks can be saved in precise bits, yet no such number has ever made sense for biological neuronal networks. Not only the number, even what parameters should be
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can be saved in precise bits, yet no such number has ever made sense for biological neuronal networks. Not only the number, even what parameters should be quantified remains unclear – a true unknown
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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, Merced is looking for an ambitious Postdoctoral Scholar to carry out a project that leverages compressed sensing to accelerate proteomics research. The position is NSF-funded, and the scholar will work
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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about contributing to the success of the city, county and community. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense
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-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary teams in TelecomAI Lab to integrate AI models and tools into advanced telecommunication system