68 data-science-"https:" "https:" positions in Japan

  • . ( https://www.ims.ac.jp/en/about/bunshi_sankaku.html ) (2) Handling of personal data All the private data in application for selection and employment is handled in strict confidentiality in accordance with

  • Tohoku University | Japan | 24 days ago

    26 Sep 2026 Job Information Organisation/Company Tohoku University Research Field Engineering Computer science Technology Information science Researcher Profile Leading Researcher (R4) Application

  • Kyushu University | Japan | 2 months ago

    factors/ergonomics, transportation engineering, human–computer interaction, safety science, artificial intelligence and intelligent informatics, behavioral science, and data science etc. [Work content

  • Medical sciences Environmental science Agricultural sciences Pharmacological sciences Technology Biological sciences Chemistry Anthropology Neurosciences Engineering Information science Computer science

  • motivated to advance brain research through data science and the enhancement of analytical technologies—including the development of large-scale data analysis methods utilizing high-performance computing

  • Tohoku University | Japan | about 2 months ago

    sciences Ethics in health sciences Medical sciences Neurosciences Anthropology Agricultural sciences Environmental science Information science Computer science Researcher Profile Recognised Researcher (R2

  • Information Security—to strengthen education and research in the fields of mathematics, data science, and AI, which are essential for building a super-smart society. https://imse.nagaokaut.ac.jp/en

  • Information Security—to strengthen education and research in the fields of mathematics, data science, and AI, which are essential for building a super-smart society. https://imse.nagaokaut.ac.jp/en

  • 26 Sep 2026 Job Information Organisation/Company Nagaoka University of Technology Department Section of Personnel, Office of Personnel and Employee Affairs Research Field Computer science Technology

  • engineering by integrating AI, data science, and high-performance computing with numerical simulation and the understanding of physical phenomena. With AI for Science and digital twin technologies as

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