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. [Work content and job description] Research Area: Mathematical and/or computer science related to theoretical computer science, algorithm theory, data structures, combinatorics, machine learning
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of concepts from quantum information to quantum materials; algorithmic aspects of quantum computing; topological aspects of magnetism; connections between condensed matter and high-energy physics
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of Agriculture: Study on Agriculture Science I・II, Seminar on Agriculture Science I・II, Advanced Ecology and Systematics I・II, Advanced Systematics and Evolutionary Biology of Insects, Advanced Review
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, to reconstruct the evolutionary past of humans and other species. Our genomes can, for instance, inform us about past migrations, introgression with Neanderthals and other extinct hominids, and adaptation
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framework for developing advanced IT professionals. AI is inherently data-driven, shaped by large-scale, high-quality data and algorithms that efficiently learn from it. Data engineering and statistical
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intelligence (AI), high-performance computing, big data processing, information systems, computer vision, media processing, algorithms, computer software, information security, and quantum computing. * Okayama
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of the project] * Background of the recruitment and description of the project Numerical Analysis (Numerical Algorithms), Mathematical Optimization, Operations Research, Machine Learning, Mathematical Statistics
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algorithms, system design, discrete mathematics and optimization, machine learning, natural language processing, generative AI, and AI engineering. Candidates must have some proven research record and/or
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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, infrastructure maintenance and management (especially, infrastructure maintenance and management), development of data processing methods (various algorithms, DB, etc.), web system development and programming