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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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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 advantages of traditional information resource management research, the Center will increase cross-integration and form new disciplinary growth points in the fields of data elements and data governance, data
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/ for details of our existing colleagues and research strengths, which include Sociolinguistics, Multilingualism, Discourse Analysis, Corpus Linguistics, Cognitive Linguistics, and Psycholinguistics
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Position Location: Zhuhai,Guangdong 519087, China Subject Areas: statistical analysis Statistics / Applied Statistics , Statistics Actuarial Science Data Mining & Machine Learning / Interdisciplinary
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colleagues and research strengths, which include Sociolinguistics, Multilingualism, Discourse Analysis, Corpus Linguistics, Cognitive Linguistics, and Psycholinguistics. RESPONSIBILITIES AND DUTIES
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conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis
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with experience in multi-omics data analysis. Applicants must have published at least two high-quality SCI-indexed papers as first author within the past three years.4.Contact InformationInterested
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include Sociolinguistics, Multilingualism, Discourse Analysis, Corpus Linguistics, Cognitive Linguistics, and Psycholinguistics. RESPONSIBILITIES AND DUTIES The appointee will be expected to contribute
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materials, element composition, rolling process, and heat treatment process of magnetic materials, and design and properties of multi-physical field magnetic measurement systems for magnetic materials under
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Position Location: Zhuhai, Guangdong Province 519087, China [map ] Subject Areas: Advanced Probability, Advanced Mathematical Statistics, Regression Analysis, Multivariate Analysis, Categorical Data Analysis