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recruitment [Work content and job description] Job responsibilities: [Immediately after hiring] ・At the Graduate School of Fisheries Sciences: Teaching graduate students in Aquaculture Genetics and Genomics
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Division of Marine Life Science, Laboratory of Aquaculture Genetics and Genomics Assistant Professor
Aquaculture Genetics and Genomics (lectures, laboratory works, seminars, practical training, etc.) ・At the School of Fisheries Sciences: Teaching undergraduate students in Department of Aquaculture Life Science
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University invites applications for a faculty position in the field of genetics, responsible for both research and teaching. The Department of Genetics at our university is conducting leading research, both
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Genetics and Reproduction constitutes the Research Group of Animal Science, together with four other laboratories: Laboratory of Animal Production System, Laboratory of Animal Function and Nutrition
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quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. Our main interest is to propose quantum algorithms
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and description of the project To fill capacity [Work content and job description] (1)Research Field: Areas related to fundamental theory of informatics and its applications (e.g., algorithms
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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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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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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