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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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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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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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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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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
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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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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency
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researcher to develop observational design and impact assessment methods, leveraging techniques such as data assimilation and machine learning. https://www.jamstec.go.jp/ccoar/e/ [Work content and job
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Electrical Engineering Nuclear Physics High Energy Physics Data Science / Machine Learning (more...) Particle Physics Appl Deadline: 2025/11/30 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until
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Astrophysics Nuclear Physics High Energy Physics Data Science / Machine Learning (more...) Particle Physics Appl Deadline: 2025/11/30 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until 2025/12/31