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into human society. Through this recruitment, we seek a faculty member who will strengthen our research and education in computer systems, information networks, information security, and high-performance
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29 Aug 2026 Job Information Organisation/Company Iwate University Research Field Technology Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 30 Oct 2026 - 23:59 (UTC) Country Japan Type of Contract Temporary Job Status Not...
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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and learning theory, alongside applied technologies, such as machine learning, pattern recognition, and perceptual information processing, in addition to the classical theory of computation
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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
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are required to teach about 6 subjects, excluding ‘Project I & II’ and ‘Undergraduate Thesis’.) Linear Algebra I & II, Elementary Programming, Introduction to Computer Science, Information literacy、Introduction
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English to Speakers of Other Languages) Department: Center for Language Research (CLR), the University of Aizu [Work content and job description] All CLR professors teach an average of four class periods
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addition to numerical simulations using models based on fluid-dynamics, research employing mathematical, statistical or machine learning method, as well as experimental research using the facilities at the Ujigawa Open
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of the recruitment and description of the project] * Background of the recruitment and description of the project This recruitment aims to strengthen research that, against the backdrop of advances in AI, machine
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fluid simulation and molecular dynamics simulation while strengthening next-generation simulation science that spans both fields, in response to advances in AI, machine learning, and high-performance