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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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-term stability. Furthermore, we are engaged in R&D for future RIBF upgrades and collaborate with other research groups to pioneer new frontiers in accelerator-based research. [Keywords] Particle
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. The project combines RIKEN expertise in precision optical spectroscopy and nanophotonics of low-dimensional materials and nanostructures with IBS expertise in nanospectroscopy based on scanning tunneling
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motivated researchers who are eager to help build and shape a new research program from the ground up. The group offers a broad range of theoretical research topics, including quantum machine learning
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more than 80 years ago, RIKEN Nishina Center for Accelerator-Based Science challenges two ultimate questions: "How are elements created in the universe?" and "Can human beings freely transmute elements?" By
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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
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Science (Team Director; Eiryo Kawakami) (7) Medical Science Deep Learning Team, Division of Applied Mathematical Science (Team Director; Jun Seita) (8) Prediction Science Research Team, Division of Applied
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for basic and applied science. [Work content and job description] Regarding the research on “development of metal oxide-based oxygen evolution catalysts and cell performance evaluation” of the research
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yen Wages description:Salary will be an annual salary based on experience, ability, and performance, and will consist of a base salary and a variable salary. The variable salary will be determined each
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shown to exhibit unique nuclear structures and properties, and their structural studies are one of the central subjects in nuclear physics. The research group has been conducting physics research based