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Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12
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PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf subject to suitable performance within
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performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
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exceeding the maximum period set by FCT for such grants. RENEWALL Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe
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automated reasoning methods, enhanced by and integrated with the capabilities of LLMs to extract relevant information, for aligning the PA specifications with the guidelines. BINDING LEGISLATION Law 40/2004
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to the development of an implementation setting for alignment methods for complex PA processes interacting with data objects. These methods should take inspiration from algorithmic techniques developed in data-aware
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its diagnostic capabilities. While pre-trained models will be included, we will continue to explore feature-based methods. Feature-based methods offer a level of explainability necessary for end-users
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: OBJECTIVES | FUNCTIONS - Develop a forecast framework using federated learning - Evaluate the impact of FL in the EVs management - Help in the implementation of FL methods - Assist the research team in
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in generative AI for reducing the time from vulnerability disclosure to mitigation. The selected candidate will: 1) Contribute to the software implementation of the InfraGov toolchain 2) Produce a
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recent developments in generative AI for reducing the time from vulnerability disclosure to mitigation. The selected candidate will: 1) Contribute to the software implementation of the InfraGov toolchain 2