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Mathematics/Optimization. Requirements: These positions are open for Assistant, Associate, or Full Professor level, depending on qualifications. The candidate must have a PhD in Computer Science/Artificial
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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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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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, 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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protection and defense against cyberattacks --- has become critically important. These research areas encompass both the foundations of informatics—such as theoretical analysis and algorithm design—and the
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, AI & XR Applications, Intelligent Mechanical Systems, Electrical Circuits II, Data Structures and Algorithms, Speech Engineering, Multimodal Interaction Theory, System Design Engineering Experiment II