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of the recruitment and description of the project] * Background of the recruitment and description of the project We have been developing federated learning AI models for medical image diagnosis and conducting
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employ cutting-edge approaches such as high-throughput live-cell imaging, genome-wide genetic screens, precise gene editing, and biochemical reconstitution to uncover new mechanistic principles. Our unit
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property -Hydraulic fracturing/shearing experiments and Acoustic Emission (AE) measurements under high T/P conditions -CT image analysis of rock or proppant transport -Subsurface fluid flow/fracturing
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, and quantitative live-cell imaging to explore the dynamic behaviors of microbial lifeforms across unicellular, multicellular, and supracellular states. Through this interdisciplinary lens, the group
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of the project] * Background of the recruitment and description of the project We are working on the ultrafast shaping of free-electron beams and the application to the ultrafast imaging of chemical dynamics and
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fabrication and engineering of nanoscale devices, microspectroscopy and imaging measurements, as well as development of automated data collection and analysis systems. The job description may be changed during
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) and Data Science (4th science) towards the new “Science of Prediction” as the 5th scientific paradigm. Prediction and control have long been studied, but it is still a challenge to apply the traditional