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decarbonization •Decentralized energy systems •Social acceptance of smart energy technologies •Data governance •Institutional design •Equitable and innovative business models * Assigned department Existing
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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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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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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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] Supporting the school in managing various tasks, including entrance examinations, student presentation arrangements, PhD seminars, field studies, and the organization of symposia. * Assigned department
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such as quantum-classical hybrid algorithms for simulating quantum many-body systems. We also analyze quantum dynamics of quantum computing based on quantum information. For these purposes, we develop
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requirement, you must have a PhD degree in Electrical and Electronic Engineering or other related fields. The salary depends on the performance and career of the candidate but is expected to be between
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applicants will likely work on the development and/or application of new statistical techniques in one of the following areas, depending on suitability and interest: - Improving admixture modelling across
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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 in April
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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