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research on data-driven methods for time-series tipping point prediction and their mathematical foundations, based on their expertise in fields such as mathematical sciences and mathematical engineering
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. *³ ───────────────────────────── *¹ Courses (tentative) include: Academic Writing Practice, Academic Discussions and Debates, Presentation Skills, Understanding Cross-Cultural Communication, Research Methods for Social Sciences, etc
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of radiocesium to wild mammals in Fukushima Prefecture using ecological methods, and on the effects of the nuclear accident on either individuals, populations, or tissues, cells, molecules, etc. at each level with
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courses. Candidates who are enthusiastic about teaching through the case method are especially encouraged to apply. Preference will be given to applicants who hold a Type 1 High School Teaching License
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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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Methods in Networking, Graduation Thesis, Data Processing, etc. (3)Graduate level (master’s programs): Advanced Study in ICT Space Design, Lesson study development practice (including ICT), Special Study in
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based on brain and body functions” This position focuses on developing computational methods to estimate, predict, and visualize mental states such as emotions and intentions from motor signals (e.g
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review (PhD and Master's), system for off-campus funds application advisory available ・Moving allowance provided (\500,000 for relocation from overseas, \300,000 (*) for relocation from within Japan