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into human society. Through this recruitment, we seek a faculty member who will strengthen our research and education in computer systems, information networks, information security, and high-performance
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statistics, or decision science, who specializes in one of the following areas: statistical learning theory, causal inference, Bayesian statistical modeling, or AI and data management. [Desirable
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to Information Processing、Introduction to Information Systems、Information Society and Information Ethics、Computer network, Game programming I & II, Introduction to Game Studies, Database Exercises, Data Structure
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yen Wages description:The University's Type I annual salary system applies. The approximate annual salary is JPY 8 million or more for a Professor and JPY 7 million or more for an Associate Professor
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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performing arts, theater, or related fields is desirable. [Number of positions] 1 Position Adjunct Lecturer [Starting date] 2027/4/1 (Estimated date) * Assigned department Existing departments [Work location
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their ability to use basic economic models to explain and evaluate real-world economic and business issues. [Number of positions] 1 Position Adjunct Lecturer [Starting date] 2027/9/21 (Estimated date) * Assigned
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landscape, and the political factors that enable or hinder sustainable development. [Number of positions] 1 Position Adjunct Lecturer [Starting date] 2027/4/1 (Estimated date) * Assigned department Existing
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] 2027/4/1 (Estimated date) * Assigned department Existing departments [Work location] * Address 602-0898 Kyoto Kamigyo-ku, Kamidachiuri-agaru, Karasuma-dori [Number of hired] Number of hired:1 person(s
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from campus) - Very large, well-equipped private office (approx. 27 m2) - New-employee allowance for computer and research equipment - Well-equipped, high-tech classrooms - Annual budget for research