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learning minimal residual algorithm for PDEs with non-linear quantities of interest. Design and analyze a deep learning minimal residual algorithm guaranteeing uniqueness of the solution for inverse problems
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Intelligence and Deep Learning at NYU Shanghai. This position requires an experienced professional with a deep understanding of AI research, interdisciplinary collaboration, and administrative leadership
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& Minimum 2 years’ experience designing, researching, or engaged in developing algorithms and software applications for neural networks in Python; solid knowledge of neural networks and deep learning
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biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
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Functional lung image synthesis using machine/deep learning: development, validation and application
Functional lung image synthesis using machine/deep learning: development, validation and application School of Medicine and Population Health PhD Research Project Competition Funded Students
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RAP opportunity at National Institute of Standards and Technology NIST Deep Learning Applied to Problems in Chemical Physics Location Information Technology Laboratory, Applied and Computational
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MASTER THESIS MONOCULAR DEPTH ESTIMATION FOR AUTONOMOUS DRONES USING DEEP LEARNING & COMPUTER VISION
traffic safety. What you will do For our current projects we are looking for excellent students who would like to write their thesis in the area of Computer Vision and Deep Learning. The thesis(es) will
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 32 minutes ago
electronic health records and clinical text through machine (deep) learning modeling and natural language processing, the incumbent will also contribute to software package development, scientific paper
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experience with Large Language Models. Required Skill/ability 3: Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images. Required
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understanding, and spend analysis. Demonstrated ability to develop deep category-specific expertise, and define and document key stakeholder business requirements. Demonstrated ability to manage multiple spend