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Field
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phenomena, including crystal growth, phase transformation, recrystallization, and grain growth, to establish the underlying science for microstructure control in high-temperature processes such as welding
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materials design with process and systems engineering to minimize environmental impacts throughout the entire life cycle is rapidly increasing. We invite applications for a faculty position from researchers
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of the recruitment and description of the project] * Background of the recruitment and description of the project Performing advanced research on energy processes and systems aimed at decarbonization and conducting
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captured and integrated into cyberspace through IoT sensors and other technologies; data are then analyzed and knowledge is extracted using large-scale data processing technologies, with the results fed back
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become a major global challenge. In the fields of polymer and fiber materials, the development of sustainable material design and advanced material processing technologies has become an important research
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of the project] * Background of the recruitment and description of the project The Carbon Recycling and Energy Processes Research Unit aims to contribute to the early realization of carbon neutrality through
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Surgery), Department of Veterinary Science, School of Veterinary Medicine. [Work content and job description] Veterinary Medicine (Laboratory of Veterinary Surgery) conducts education and research in
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23 Jul 2026 Job Information Organisation/Company Tokyo Metropolitan University Research Field Arts Anthropology Philosophy History Geography Juridical sciences Religious sciences Language sciences Psychological sciences Management sciences Political sciences Literature Sociology Ethics in...
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23 Jul 2026 Job Information Organisation/Company Tokyo Metropolitan University Research Field Ethics in physical sciences Ethics in natural sciences Educational sciences Economics Ethics in health sciences Ethics in social sciences Cultural studies Criminology Communication...
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at the realization of large-scale diffusion language models and flow models. Specifically, tasks include but are not limited to: training using parallel GPUs, improving diffusion language models and flow models