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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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higher order endophenotypes and organismal phenotypes, and the identification of functional regions on the genome of all living beings. Our group is mostly computational, and we do both large-scale data
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models that are more efficient, inherently multimodal, and capable of processing information at an unprecedented scale. Key research questions include (but not limited to): Non-Autoregressive and Diffusion
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, in particular). Our lab is generating large-scale, state-of-the-art gut metagenomics data for thousands of genetically heterogeneous laboratory rats whose gut metabolome and behaviour have previously
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, computer science, biomedical engineering 11 Shaanxi Key Laboratory of Big Data Knowledge Engineering Artificial intelligence, medical image analysis 12 Digital Oral Information Modeling & Applications Team Digital
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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, funded by the prestigious European Research Council (ERC-2022-STG #101077370), seeks to understand receptor-mediated transport across the BBB and develop new strategies to deliver large therapeutics
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is highly advantageous Education and training You hold a PhD (or equivalent experience) in statistical genetics, genome or epigenome data analysis, or related fields Languages You are fluent in English
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Rare Diseases. This faculty opening will be valid for an extensive period of time. For more information about SMART&PI, please visit our official website：https://smart.org.cn/. Qualifications A PhD
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the opportunity to collaborate with a large network of nanoscience and nanotechnology researchers worldwide and participate in the e-DREAM European microscopy network, which provides access to cutting