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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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the selected candidate’s qualifications and experience. Applications for relevant projects and programs will be encouraged and supported. Post-doc(s) who are selected by the China Postdoctoral Science Foundation
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and Benefits The research group offers competitive compensation package commensurate with the selected candidate’s qualifications and experience. Applications for relevant projects and programs will be
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countries, including EPSRC Programme grant "Symmetries and Correspondence". The principal investigator is Professor Ivan Fesenko. Professor Ivan Fesenko's Higher Number Theory page: https://ivanfesenko.org
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communication and collaboration skills, along with programming proficiency, are considered extremely advantageous. 5) Aged under 35. Compensation and Benefits 1. The institute offers a competitive and negotiable
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talent around the globe and pioneer in theoretical research in a range of fundamental disciplines, including mathematics, theoretical physics, etc. The institute also carries out scientific research plan
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Particle Physics. An official proof of Ph.D. graduation by the time the position starts is strongly preferred. • Strong background in particle physics and familiarity with programming languages commonly used
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with programming languages commonly used in particle physics research. • Demonstrated ability to conduct independent research and a record of publications in peer-reviewed journals. The successful
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and experience. Applications for relevant projects and programs will be encouraged and supported. Post-doc(s) who are selected by the China Postdoctoral Science Foundation or Advanced Programs
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experience. Applications for relevant projects and programs will be encouraged and supported. 2. The university assists with enrolling children in child care and school. 3. The university boasts comprehensive