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with the communication and computer science team.; ; The successful candidate will collaborate with a team of linguists, and NLP researchers from INESC (https://nlp.inesctec.pt ) and will have the
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within a Research Infrastructure? No Offer Description Work Plan: • State-of -the-art survey in language models (LLMs), vision and language models (LVLMs), and trusted AI. • Establishment of the model
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.; ; The successful candidate will collaborate with a team of linguists, and NLP researchers from INESC (https://nlp.inesctec.pt ) and will have the opportunity to work in a dedicated and young environment, in close
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: -Hold a degree in Biotechnology, Biotechnological Engineering, or a related field; -Be enrolled in a master's program in Biotechnology or a related field; -Have proficiency in the Portuguese language
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, the work plan includes: Exploratory Data Analysis of unstructured data related to lung cancer patients. - Extraction of structured data with Medical Language Models. - Development of explainability
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component. The work to be developed by the student will involve extracting information from unstructured clinical text using Large Language Models (LLMs), with the goal of developing Trust worthy models. More
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of unstructured data related to lung cancer patients. - Extraction of structured data with Large Language Models. - Development of explainability mechanisms for the component to be developed. - Publication
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 3 months ago
language is required (C2). Candidates must provide proof of proficiency in the Portuguese language (only applicable to candidates whose native language is not Portuguese). The proof of enrollment must be
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assignment of a research grant, with one position(s), under the project COIMBRA ST LLM_EUI02-188:Large Language Models applied to create better experiences for tourists and local communities whilst supporting
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Engineering or Aerospace Engineering; - Mastery of the Portuguese language, spoken and written; - Mastery of the English language, spoken and written. Financial component - According to the Table, contained in