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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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dynamics, and machine learning methods in Grant-in-Aid for Transformative Research Areas (A): "Ion Congestion Science". Specific research backgrounds are not required but experiences of the following fields
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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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, 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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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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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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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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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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machine learning, corrosion science, or hydrogen embrittlement would be highly regarded. Appropriate guidance on experimental methods will be provided according to the applicant’s background. Applicants
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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