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; Jorge Manuel Oliveira Henriques IV - Work Plan / Goals to be achieved: Assessment of reliability in emotion recognition, based on machine learning methods and using EEG signals. The aim is to induce
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methods for the prognosis of diseases related to climatic factors, based on machine learning models and using hospitalisation data from municipalities in Brazil. Plan: - Study of the database
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: Research Field: Computer Science Admission Requirements: Undergraduates in computer engineering or related area, preferably with experience in Deep Learning methods/techniques. Work Plan: 2 Research grants
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, following NOTICE N.º 02/C05-i01/2022, Component 5 – Capitalization and Business Innovation - Mobilizing Agendas for Business Innovation VI.IV - Information and publicity about the funding: In all R&D
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considered a preference factor. The proof of enrolment must be made available until the contract is awarded, and the candidate may attach a declaration of honor to confirm that they meet the requirements
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, publications, and other research outcomes in force. VII - Selection Methods: Evaluation of the academic record (AR) and Interview (I) VII.I - AR - In the evaluation of the academic record, the candidates
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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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funded under the RBI must comply with the open access standards for data, publications, and other research outcomes in force. VII - Selection Methods: Evaluation of the academic record (AR) VII.I - AR - In
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, and other research results in force. VII - Selection Methods: Evaluation of the academic record (AR) VII.I - AR - In the evaluation of the academic record, the candidates' academic performance will be
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dissemination of research results funded under the RBI must comply with the rules on open access to data, publications and other research results in force. Eligibility criteria VII - Selection Methods: Evaluation