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                of polyploidy, and the construction of plant developmental models using mathematical analysis methods. The laboratory primarily uses crops, mainly rice, for its research. We seek an individual with exceptional 
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                nucleic acids, and characterize its physical properties through experiment and analysis. We also welcome individuals who are integrate numerical simulations with experimental data to design and guide 
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                ・English), Practice of Data Analysis for Education and Social Data Science Programs, Special Topics(Japanese・English), etc. (4)Graduate level (doctoral programs): Special Topics(Japanese・English), etc 
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                of Measure Theory and Functional Analysis is appreciated. Submission Documents (to be sent via email to amedeo.esposito@oist.jp) Cover letter (English) Curriculum vitae (English) Research Statement (English 
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                ): Educational Technology (Omnibus), Application of Data Science (Omnibus), Exploration of Digital Issues in Education (Omnibus), Practice of Data Analysis for Education and Social Data Science Programs (Omnibus 
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                /statistics, mathematics, big data analysis, network fundamentals, UI/UX design, application/system development, media expression (including VR/AR), information and society, ICT ethics and related fields 
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                economic and business history, and has continued to publish original research results based on the analysis of these sources. This is due to the efforts of successive professors starting with Kichiji 
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                , including marketing, education, psychology, urban engineering, finance, policy analysis, institutional design, and socio-technical systems. Theoretical researchers who pursue the mathematical foundations 
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                Tenure-Track Assistant Professor at the Graduate School of Pharmaceutical Studies, Tohoku Universityresearch approaches, including but not limited to those that leverage emerging technologies—such as AI-based analysis, computational science, and iPS cell-based drug discovery models—to identify novel drug 
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                particle physics, nuclear physics, cosmology, chemistry, biology, and mathematics. Mathematical modeling, knot and knotoid theories, periodic tangles, topological defects, and topological data analysis