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available in the further tabs (e.g. “Application requirements”). Objective To intensify German-Chinese research cooperation and improve funding opportunities for young Chinese scientists and academics
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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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Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
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associate position with a focus on natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in industry, education, and public
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associate position with a focus on national security applications of natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in
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/ ) focused on phonological learning and speech production (PIs: Drs. Sayako Earle and Ho Ming Chow). This position is 100% research with an ample opportunity to develop teaching skill. The successful candidate
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institutions of their disciplines. German candidates are expected to opt for research facilities abroad. Austrian and Swiss scientists are only eligible for support if they apply at a host institution in Germany
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managed to encourage easy access and collaboration. English is the official language of the University, and the university research community is fully international, with more than 50 countries represented
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Sciences | Spanish and Portuguese The Sociolinguistics Lab of the Department of Spanish & Portuguese invites applications for a Post Doctoral Scholar position that will be based at the Department of Spanish
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on language processing studies and, in particular, on novel rehabilitation approaches to aphasia. The Sathian lab employs both behavioral and neuroimaging (functional magnetic resonance imaging: fMRI) methods