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on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) and the United Kingdom
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, mathematical sciences, or applied mathematics/engineering, and who are motivated to engage in AI research in earnest. We also welcome applicants with the following experience: - Operation and use of GPU-based
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description of the project] * Background of the recruitment and description of the project The ARG Sugimoto Unit conducts research on materials and processes for low-environmental-impact energy storage
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. Research and development of analysis methods for offshore observation data (earthquakes, slow slip events, and fault slip processes) 3. Observational studies of offshore earthquakes, slow slip events, and
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materials for quantum sensing applications using NV centers formed in diamond. Specifically, observation of electronic and spin states of color centers by optical and spin characterization, crystal processing
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. [Work content and job description] (Immediately after hiring) Construction of a machine learning model describing the relationship between input data (such as solar cell structure, fabrication process
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Recruitment of Designated Assistant Professor or Post-doctoral Researcher (CREST), Nagoya University
of Innovative Integrated Fundamental Technologies for Materials Production and Recycling Processes” under the theme “Development of High-Performance Materials through Upcycling of Industrial Waste Silicon
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managed safely according to strict rules. Personal information received during the recruiting process will be used only for recruitment screening and appointment procedures and not for any other purposes
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operation efficiency. We are also actively promoting the applications of the accelerator facility to a variety of research fields. The cyclotron team’s mission is to have stable operation of cyclotrons
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) and Data Science (4th science) towards the new “Science of Prediction” as the 5th scientific paradigm. Prediction and control have long been studied, but it is still a challenge to apply the traditional