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, from data processing to model deployment. Machine learning builds the “thinking engine” of AI, while Explainable AI (XAI) clarifies AI decisions in human-understandable terms. Ensuring the fairness
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assigned to these subjects. 3) Research of Artificial Intelligence (time series information processing, machine learning, brain-inspired computing) * Assigned department Existing departments [Work location
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of the recruitment and description of the project Overview Tokyo International University (TIU), located in the greater Tokyo area, is seeking qualified applicants to teach as Global Teaching Fellows (lecturers) in
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science, including machine learning theory and signal processing. 2.We invite applicants who will be affiliated with the laboratory, collaborate with other faculty members, and take responsibility for research and
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-driven control, control using machine learning, robot control, vehicle control, control of mechatronics devices, bioinspired robot control. [Work content and job description] The position involves teaching
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or machine learning 4) A strong interest and motivation in elucidating functional mechanisms through the use of quantum beam techniques * Assigned department Existing departments [Work location] * Address 466
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Associate Professor (Tenure Track), The Department of Biomedical Engineering, Faculty of Engineering
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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human internal state recognition, robotics, XR technology, media processing technology, IoT, and machine learning. - A person who can be actively involved in collaboration with various fields such as
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of the project Electric power, Energy (electrical machines, control, plasma, electric power system, new energy, power electronics, high voltage, and related information technology, etc.) [Work content and job
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contribution to society activity. Teaching responsibilities Graduate level: One or more courses related to the applicant’s specialized fields and Project Based Learning courses from those offered in the master's