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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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position is available for the research on theoretical and numerical methods related to any of the following: open quantum systems, quantum information processing and quantum machine learning, nonlinear
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Position Description Positions Available: Several positions at the rank of Professor (Candidates are expected to teach courses in Japanese or English upon appointment and will be expected to teach
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level: One or more courses related to the applicant’s specialized fields and Project Based Learning courses from those offered in the master's program and doctor’s program at the Graduate School
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recognition, machine learning, and artificial intelligence. Visual understanding has made remarkable progress due to advances in deep learning technologies. Furthermore, technologies that combine videos/images
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. AI-driven Genomic and Information Science ◦ Advance data-driven life science research that leverages AI and machine learning, underpinned by large-scale genomic and omics data as well as supercomputing
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boosting, and related machine-learning approaches Evaluation of model generalizability using train/test splits, leave-one-cohort-out validation, and leave-one-platform-out validation Assessment of predictive
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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
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continuous track record of producing the next generation of robotics engineers and intelligent machine systems researchers. The research areas of this course are deeply aligned with the demands of the era
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Courses, and Advanced Data Science Courses. Depending on the candidate’s expertise, these subjects may include Programming, Machine Learning, and Text Mining. The successful candidate will also be