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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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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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that potentially fix CO2/CO. Molecular and bioinformatic analyses and cultivation to explore genetic resources and microbial strains that contribute to fixing CO2/CO. * Assigned department Existing departments [Work
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genetic and molecular biological knowledge and skills, and be able to work independently. Ability to write papers in English and participate in research discussions is required. * Assigned department
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adaptation to environmental or lifestyle changes throughout human history. In particular, we are interested in understanding how evolutionary forces have shaped our genetic differences and how these may impact