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Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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cognitive science) and one postdoctoral researcher (working on NLP, with a focus on multimodal models combining vision and language). Your research will focus on developing, implementing and testing a general
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(working on NLP, with a focus on multimodal models combining vision and language). Your research will focus on developing, implementing and testing a general model of memory that explains how linguistic
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psycholinguistics and cognitive science) and one postdoctoral researcher (working on NLP, with a focus on multimodal models combining vision and language). Your research will focus on developing, implementing and
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project combines techniques from machine learning, natural language processing (NLP), and knowledge representation to support legal scholarship and decision-making. The position entails close academic
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NLP experts at UPF. The work will also involve the development of libraries, acquisition and preparation of datasets for experimentation, and intrinsic (metric-based) evaluation of the technology
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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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will be part of a collaborative, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP
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, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful