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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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IUT, in Diophantine geometry, in applications of modern mathematics to deep neural networks, and related areas. The previous research work has been partially supported by research grants from several
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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algorithms, error correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical
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will receive full consideration. TDLI has an international environment with English as its working language and invites candidates of all nationalities. The TDLI seeks to promote equal opportunity and
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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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written and verbal communication skills in English. 4. Preference will be given to candidates experienced in using Sage, PARI/GP or Magma to do number theoretic computations (L-functions, modular forms, etc
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, offering highly competitive compensation packages. Join a vibrant academic community where excellence in mathematics—across both established fields and emerging frontiers—is nurtured and celebrated
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cutting-edge research with English as the primary working language. With 25,000 students in 18 schools, across campuses in Suzhou and Liverpool UK, the university is rapidly expanding. XJTLU has
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years. As a research-led international university, XJTLU integrates global expertise to offer high-quality education and cutting-edge research with English as the primary working language. With 25,000