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Universe (KMI)-PD [#31232, KMI-2025-2] Position Title: Position Type: Postdoctoral Position Location: Nagoya, Aichi 464-8602, Japan [map ] Subject Area: AI/Machine Learning / Astronomy Appl Deadline: 2025
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] * Background of the recruitment and description of the project Understanding the meaning of videos and images is a central research topic in the fields of computer vision, pattern recognition, machine learning
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to data science, software, web and service informatics, machine learning, and more. https://www.akita-u.ac.jp/honbu/info/hs_koubo.html [Work content and job description] We conduct education and research
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, Information and Communication Engineering (EIC), Institute of Science and Engineering is the core organization to accelerate the effort. Among such technologies, artificial intelligence such as machine learning
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equations (2) molecular dynamics calculations (3) analysis of physical phenomena by machine learning As soon as possible after March 1, 2026 (negotiable) Where to apply Website https://jrecin.jst.go.jp/seek
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well as expertise in machine learning and neural networks. The researcher will also work collaboratively with project members to conduct cognitive psychology experiments involving infants and individuals with
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of Biomedical Engineering, Faculty of Engineering, Tokyo University of Agriculture and Technology (TUAT) invites applications for the position of Associate Professor (tenure-track) position in Computer Sciences
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content and job description] Full-time Teaching Position in Information Studies We are seeking a high school teacher with broad knowledge in the subject of Information and the ability to teach related
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. The Architecture Course aims to cultivate professionals capable of designing, constructing, and managing excellent buildings and housing by learning architectural technologies, such as design, structure, and
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heavy ion beams at the accelerator facilities in Germany and China. We also initiated and lead the project to study hypernuclei by analyzing the nuclear emulsion data with machine learning techniques. We