LATEST NEWS-Tsinghua University

Sep03

?Tsinghua professor He Jinliang elected CIGRE Fellow
?He Jinliang, a professor at Tsinghua University's Department of Electrical Engineering and the director of the Institute of High Voltage and Insulation Technology, was elected as a CIGRE Fellow
Aug30

?2nd Tsinghua Global Youth Dialogue opens
On August 29, 2024, Tsinghua University inaugurated the main forum of the Second Global Youth Dialogue, bringing together 100 participants from 35 countries and regions
Aug29

?Tsinghua researchers develop new cryo-electron tomography method
Cryo-electron tomography (cryoET) allows for observation of in situ structures of biological macromolecules within cells, and has attracted significant attention in recent years
Aug29

Tsinghua welcomes Japanese delegation led by Toshihiro Nikai
On August 27th, Tsinghua University welcomed a Japanese delegation led by Toshihiro Nikai,
Aug28

?Qiangfeng Cliff Zhang’s group develops spatial transcriptomic data analysis method
Cells in multicellular organisms share the same genome, but the differences in internal gene regulatory networks and external signaling from spatially neighboring cells in the surrounding microenvi...
Aug28

?2024 Summer School for Large Language Models: academic and cultural exchange experience
?2024 Summer School for Large Language Models: academic and cultural exchange experience
Aug27

?Tsinghua holds opening ceremony and delivers first class to welcome incoming graduates
?Tsinghua holds opening ceremony and delivers first class to welcome incoming graduates
Aug24

?Tsinghua Summer Fellowship Programme kicks off
?Forty young representatives from 17 international universities, including Cambridge, Harvard, MIT, Oxford and Yale, participated in the opening ceremony of the Tsinghua Summer Fellowship Programm...
Aug23

?Tsinghua Professor Zhang Xuegong elected vice-president of ISCB
Professor Zhang Xuegong was recently elected vice-president of the International Society for Computational Biology (ISCB)
Aug22

?Physical symmetry advances training for optical neural networks
The rapid advancement of machine learning is transforming the sciences and technology

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