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are inherently social beings. We predict how others will respond to our own actions and coordinate our own and others’ behavior based on these predictions in order to live in harmony with those around us
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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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Scientists or Postdoctoral Researchers who mathematically study collective social behaviors, leveraging approaches such as evolutionary game theory, network science, and agent-based simulations. We
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modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing
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measurement and estimation as well as coherent and measurement-base control. With these techniques, we aim to realize and improve the performance of optical quantum computing and quantum information
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/SeekJorDetail?fn=0&ln=1&id=D125081355&ln_jor=1 Requirements Additional Information Benefits [Compensation] Annual salary:3 million yen Wages description:Salary will be an annual salary based on experience
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research project, etc. ＊The applicant will be assigned to an appropriate position based on his/her ability, aptitude, etc. Job description Specifics of the job description and work location will depend
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&ln_jor=1 Requirements Additional Information Benefits [Compensation] Annual salary:4 million yen Wages description:Salary will be an annual salary based on experience, ability, and performance, and will
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“Construction of Random Network Representations of Quantum Spacetime and Gravitational Learning Models (in Japanese only)"at the iTHEMS Division of Fundamental Mathematical Science. We welcome applications from
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framework for bringing innovation to physics, chemistry, life science, humanities, computational science, and information & data science based on quantum computational science, has been established with