401 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Japan
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position in Management with a particular focus on Innovation and Entrepreneurship. The successful applicant is expected to teach general education, foundation, and area major courses in the College
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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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and description of the project None [Work content and job description] 1. Teach between 10 to 12 100-minutes classes per week depending on the contract the applicant chooses. 2. Contribute to course
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Language Integrated Learning) courses that bridge specialized education in English. The successful candidate will be responsible for planning, designing, and implementing CLIL courses at ILAS. https
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of the recruitment and description of the project Please refer to the link below for the objective of Magnetism Research Laboratory. https://www.imr.tohoku.ac.jp/media/files/_u/event/file2/23kwi05bq7.pdf [Work
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doctoral students both in Japan and abroad. https://sd.urban.env.nagoya-u.ac.jp/main/ [Work content and job description] < Lesson subjects in charge > Graduate School (Graduate School of Environmental
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only one day (Wednesday or Friday) per week are welcome to apply. #Applicants who can teach multiple days per week are preferred. Where to apply Website https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0
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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 the recruitment and description of the project Please refer to the website below. https://web.tohoku.ac.jp/imr-numat/ [Work content and job description] Research in materials science applicable to fission 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