- 
                
                
                the mathematical underpinnings of quantum information theory, with a particular focus on the investigation of the mathematical structure of quantum resources — physical phenomena that underlie practical advantages 
- 
                
                
                : Mathematical physics and fundamental theory of condensed matter physics, semiconductors, optical properties of condensed matter and atomic physics, magnetism, superconductivity and strongly correlated systems 
- 
                
                
                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 
- 
                
                
                advance research in mathematics (algebra, geometry, and analysis). The successful candidate will engage in the construction and deepening of mathematical theories that are foundational to various areas 
- 
                
                
                , RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (Team Director: Tetsuo Hatsuda) Physics and Quantum Computation Nuclear Many-body Theory Laboratory, RIKEN Nishina Center 
- 
                
                
                Data Assimilation, ESG Analysis, and Complex Network Theory for the Preservation of Global Commons” (Sub Project Leader: Tetsuo Hatsuda, Director of Division of Applied Mathematical Science) within 
- 
                
                
                Computation Nuclear Many-body Theory Laboratory , RIKEN Nishina Center for Accelerator-Based Science (Director: Masaaki Kimura) Computational Condensed Matter Physics Laboratory , RIKEN Cluster for Pioneering 
- 
                
                
                ] Subject Areas: Biology / Evolutionary Game Theory Social Sciences / Computational Social Sciences Applied Mathematics / Applied Mathematics and Statistics Network Science Natural Sciences (more 
- 
                
                
                of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and