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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
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using state of the art HTS equipment. Qualifications 1. PhD in any biological or medical science. 2. Desirable but not required, membrane protein purification, structure determination, molecular biology
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execute in vivo or cellular electrophysiology experiments according to the research needs, including the preparation of electrodes, signal acquisition and processing. Responsible for analyzing and
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. Fresh PhD graduates are encouraged to apply. The candidates are expected to: Carry out novel research and publish results at top conferences/journals. Contribute to supervision and training of graduate
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the level of post-doctoral researcher with two-year term. The Position will remain open until filled. Fresh PhD graduates are encouraged to apply. The candidate is expected to: Carry out novel research and
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PhD degree in theoretical physics or related subjects. Eligibility: Candidates of all nationalities are welcome to apply. The working language is English. Duration: 2 year with possibility of extension
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or continuously monitord systems are especially encouraged to apply. However, other research profiles, within the realm of theoretical physics, especially will also be seriously considered. Requirements: A PhD
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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-messenger era • Numerical simulation of core-collapse supernovae IHEP values diversity and welcomes candidates from all backgrounds worldwide. Knowledge of the Chinese language is not required. We provide
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contributions are as follows: 1. Discovered and delineated the furcated droplet motility on crystalline surfaces (Nature Nanotechnology 2021); 2. Designed lossfree fluid gripper and photopyroelectric