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Improving Detection and Intervention for Social Isolation and Loneliness in Dementia Using NLP and Clinical Screening School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Dr
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#39464 Job Summary: Join Language, Reasoning and Knowledge Lab (LARK) at the forefront of developing and integrating cutting-edge natural language processing (NLP) and artificial intelligence (AI
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Researcher in NLP! Engage in impactful research on moral values and political discourse. Researcher in Natural Language Processing Apply for this job See advertisement About the position A position as
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resource for addressing domain-specific challenges in natural language processing (NLP). However, such domain-adapted models are found to have difficulty accurately translating domain-specific terminology
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Natural Language Processing (NLP) and teaching. The successful candidate will be able to teach a core class in the MIDS curriculum that covers Natural Language Processing (NLP) methods, including Large
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of the UMC Utrecht is seeking an enthusiastic and ambitious PhD candidate. In this project, you will focus on developing, validating, and applying fine-grained natural language processing (NLP) and large
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international and dynamic team of researchers investigating problems in information retrieval (IR) and natural language processing (NLP) and their applications to health and medicine. The successful candidate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Number: 313667 Vacancy ID: PDS004786 Position Summary/Description: Two postdoctoral researcher positions are available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in
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FL; 3) Design and optimise task-specific FL algorithms for NLP and Medical AI; 4) Design and implement a user-friendly FL framework for both research and technology adoption purposes. We expect