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in a broad range of engineering fields and collaborate extensively with the medical field across both divisions. The following research areas are provided as examples; however, inquiries regarding
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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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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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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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that integrates research and education, with two pillars: deepening and advancing mathematics and mathematical sciences based on their unique research questions, and expanding collaboration and cooperation with
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of emerging, innovative ideas through collaboration with the various departments of Tohoku University Hospital. Under the guidance of outstanding mentor teams, SiRIUS aims to foster top-tier physician
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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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candidate who will conduct research related to atmospheric science in the cryosphere and low-temperature environments, and who is capable of proactively promoting collaborative research with other fields
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management of specimens and related materials. Additionally, you will play a key role in holding exhibitions and in providing support for lifelong learning and school education initiatives. Furthermore, you
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building performance will be conducted by developing methods to evaluate the functionality of buildings considering business continuity after earthquakes. Furthermore, promoting collaborative research with