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Information Science / quantum computing Appl Deadline: none Position Description: Apply Position Description Title: Postdoctoral Fellowships in quantum computing/information at University of Electronic Science and
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) for automated medical image analysis (MIA) tasks, such as inspection and segmentation. By leveraging the power of large language models and integrating them with visual information, this project seeks to create a
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at New York University Shanghai/East China Normal University. The experiment is a multitrap atom chip for quantum information and computing. The ideal candidate will have some experience with experimental
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Zhejiang Province), and Data Science and Big Data Technology. Additionally, there is a dual bachelor's degree program in "Information and Computing Science + Automation." Teaching Resources: The school
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Neutrino Observatory (JUNO) is a large-scale, underground neutrino experiment located in Jiangmen, China, designed to address fundamental questions in neutrino physics and astrophysics. With a 20-kiloton
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interdisciplinary teams to integrate AI and machine learning techniques into lattice field theory frameworks. - Engage in large-scale numerical simulations, performance analysis, and optimization using state
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or related field; 2.Applicants with outstanding research experience in the following fields are preferred: public policy, international relations, international political economics, economics, big data or a
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interpreting the experimental data, and writing the experimental report. 3. Technical Training and Guidance: Responsible for training other technicians in electrophysiology techniques, including experimental
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opportunity and be supported to apply for external research funding. Applications should be submitted through Academic Jobs Online system and must include a cover letter, curriculum vitae including information
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to apply for external research funding. Applications should be submitted through the Academic Jobs Online system and must include a cover letter, curriculum vitae including information on the date of birth