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are becoming increasingly interdependent and co-evolving. At the same time, advanced approaches in both networks and security are gaining momentum, in semantic communication, machine learning-based anomaly
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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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of the recruitment and description of the project Next-generation intelligent information processing fields (machine learning, optimization, control, simulation, bioinformatics, materials informatics, energy
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of the recruitment and description of the project Next-Generation Intelligent Information Processing Fields (machine learning, optimization, control, simulation, bioinformatics, materials informatics, energy
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. [Work content and job description] (Immediately after hiring) Construction of a machine learning model describing the relationship between input data (such as solar cell structure, fabrication process
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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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, from data processing to model deployment. Machine learning builds the “thinking engine” of AI, while Explainable AI (XAI) clarifies AI decisions in human-understandable terms. Ensuring the fairness
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an objective, scientific approach based on prediction to the sustainable development of human society. [Keyword] Data Assimilation, Prediction, Machine Learning, Simulation, Statistical mathematics For further
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sciences. At the time of appointment, it is not necessary for applicants to be machine learning experts. We welcome candidates who have established expertise in fields such as physics, neuroscience
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information theory, thermodynamics, and machine learning. In particular, our team focuses on non-equilibrium open quantum systems and quantum thermodynamics, with a central emphasis on exciton Bose–Einstein