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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models Additional Information Benefits
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, information retrieval, natural language processing. • Expertise in conversational models and systems. • Expertise in vision models in language. • Experience in pre-training and f ine-tuning of large language
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technologies relevant to the execution of the project (50%). Selection process Composition of the Selection Jury: President: Professor Cláudia Soares Effective members: Doctor Flipa Valdeira, Professor Matthias
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models. Additional Information Benefits
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R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-25-90 I - Legal
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Laboratory Environment; 3) Thermodynamic Modeling of Processes Using Relevant Software; 4) Process Integration; 5) Energy Management and Environmental Feasibility of Processes; 6) Life Cycle Analysis; 7
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to present a document proving that the qualification complies with the provisions of the aforementioned Decree-Law, or, alternatively, a document proving that the candidate has already started this process
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) Development of computer models and simulations; 3) Experimental tests and trials; 4) Prototype implementation and validation; 5) Dissemination of results and dissemination of the generated knowledge
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veterinary medical association. -Light vehicle driving license -Physical strength essential for performing functions. Proven professional experience in ruminant medicine and surgery or completion of a final
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6 Mar 2025 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Engineering » Computer engineering Researcher Profile