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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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29 Aug 2026 Job Information Organisation/Company Tohoku University Department Department of Robotics Research Field Physics Chemistry Engineering Technology Pharmacological sciences Biological
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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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position) - Conduct active research in the field of Human-centered AI (Human-Computer Interaction, VR/AR/XR, Learning Sciences, Affective Computing, Industrial Engineering) in close cooperation with
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. The successful candidate will also utilize machine learning and other advanced methods to evaluate and predict the integrity of superconducting coils, with the aim of establishing operational technologies
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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
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, including phase transitions, nonlinear dynamics, morphogenesis, evolution, and chromatin physics. We tackle these questions from fresh angles, using everything from physics and machine learning to long-term