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computational methods to a wide range of large datasets, such as official statistics, surveys, social media, web-tracking data, news, laws, bibliometric data, historical archives, current data archives
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computational skills. The selected candidate will contribute to the design, development, and application of bioinformatic tools for large-scale genomic data analysis. Specifically, the role involves implementing
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, structural biology, omics, artificial intelligence, and database technology and big data management. Overseas Work Experience: From the date of obtaining the doctoral degree to September 15, 2025, applicants
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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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, Urban & Rural Planning, Environmental Science & Engineering, Chemical Engineering & Technology, Mechanical Engineering, Transportation Engineering, Civil Engineering, Data Science & Big Data Technology
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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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who will join the team to support the Pilot Line Director, Coordination team and the Work Package leaders in the effective execution and management of a large-scale research and innovation project
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methods to accelerate the discovery and optimization of novel materials, and actively develop large-scale materials models (AI for Science) to transform the R&D process through AI-driven paradigms. In
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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