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Details Title Postdoctoral Fellow in Modular Deep Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The Data
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
Job Description Position Summary We invite talented post-doctoral candidates with an interest in cancer genomics, multi-omic data analysis, algorithm design, and/or deep learning to apply for a
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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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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 11 hours ago
degree or doctoral candidates. The fellow will participate on a project to develop tools to support the regulatory evaluation of deep learning-assisted medical image formation (e.g., unrolled methods, deep
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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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Director, Center of Artificial Intelligence and Deep Learning New York University: NYU - Shanghai: Shanghai: Frontiers Science Center of Artificial Intelligence and Deep Learning Location Shanghai
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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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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours 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