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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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research utilizing information networks. We focus on maximizing researcher's performances by ensuring efficient network utilization and system/application optimization. Leveraging insights from our
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. The capacity of neurons to represent and retain information is gauged from the structure and behavior of resulting circuits. Keywords: computational neuroscience, theoretical neuroscience, brain science
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to actively pursue research using expertise in at least one of the areas listed in 1–3 below. 1.Structural analysis of biomacromolecular complexes using cryo-electron microscopy (cryo-EM) 2.Large-scale
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] * Background of the recruitment and description of the project Our research team focuses on theoretical studies of emergent physical phenomena based on topological structures in condensed matter systems
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intelligence, etc.), Physics I (particle, nuclear, astrophysics, etc.), Physics II (condensed matter etc.), Chemistry, Biology (cell biology, developmental biology, plant biology, structural biology
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Researcher is defined as those with a doctoral degree of 5 years or less. Job content supplemental explanation:Start of Employment As early as possible Where to apply Website https://jrecin.jst.go.jp/seek
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Researcher: 1 position Job content supplemental explanation:Start of Employment As early as possible Where to apply Website https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D126020759&ln_jor=1