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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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on date of birth and date of receiving the PhD degree, research statement, publication list, and at least three reference letters. The deadline is January 10, 2026 and applications received before this date
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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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environment with English as its working language and invites candidates of all nationalities. The TDLI seeks to promote equal opportunity and diversity in physics. Members of under-represented groups in physics
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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