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and learning theory, alongside applied technologies, such as machine learning, pattern recognition, and perceptual information processing, in addition to the classical theory of computation
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. AI-driven Genomic and Information Science ◦ Advance data-driven life science research that leverages AI and machine learning, underpinned by large-scale genomic and omics data as well as supercomputing
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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
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substantial support to early-career researchers, helping them elevate their research capabilities, transform their early-stage research into highly regarded achievements, and successfully acquire external