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unified framework that can understand and generate human-like text while simultaneously processing and analyzing medical images. The model will be trained on a diverse dataset of medical images and
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to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD in Chemistry, Chemical Engineering, or a closely related field; Strong background in organic chemistry, process chemistry, or continuous flow
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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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Postdoc position for Lab of Interfacial and Micro FlowsSalaryApproximately RMB 350,000 per year. RequirementHave a background in microfluidics, interfacial phenomena, and related fields.Application To apply for this position, send a two-page CV to Prof. Xin TANG...
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1.Research Group IntroductionWeicheng Hu, Ph.D., Professor, currently serves as an Associate Editor for the Journal of Ginseng Research and Frontiers in Immunology, as well as an Editorial Board Member for the Journal of Immunology Research. He has been selected for prestigious talent programs...
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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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, depending on qualifications. Most postdocs at BIMSA receive generous travel grants. BIMSA also offers generous benefits including subsidized housing and health insurance. PhD in one of the fields represented
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: Innovate in vacuum systems, laser stabilization, and real-time control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical 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