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justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Carlos Manuel Gonçalves Carreira Effective Members: Luís Miguel Peres Lopes; Fátima Teresa
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academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge
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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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or Non-degree programme – art. 6º, n. 4 a) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 The applicants are required to have proficiency in Portuguese and English, both written and
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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought
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supporting documentation, proven experience in all of the following areas: natural language processing and machine translation (sequence-to-sequence modelling, NMT, glosses); deep learning, Transformers, and
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interactive laboratory guidance. Integrating AI endpoints (speech-to-text, text-to-speech, or LLM logic) to power the agent's interactive capabilities. Task 3: Technical Verification, Deployment & Reporting
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Decree-Law No. 65/2024 of October 1, and the University of Algarve Research Grant Regulations (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). Workplace: The work will be carried out
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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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collaboratively in multidisciplinary research projects. Proficiency in English, both written and spoken, is essential. Additionally, experience in methodologies for the characterisation of mineral and lipidic