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to the submission of the formal document. For additional information on this matter candidates are advised to check the website of the Directorate-General for Higher Education (DGES): https://www.dges.gov.pt/en
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in the CV; b) Background and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information available in the cv and
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this type of scholarship; Preferential Requirements: Clear demonstration of skills in modeling and simulating solids, fluids, and their interaction and interface; clear demonstration of skills in finite
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, or the respective recognition under the terms of Decree-Law No. 66/2018, of August 16, do not correspond to the classifications awarded in the evaluation of the academic path, which can change the candidate's ranking
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for the attribution of 2 grant of Master within the scope of the project of R&D “Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, FCT 2024.07481.IACDC/2024, supported by
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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.; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy
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and good organisational skills; - Goal-oriented work approach; - Empathy and strong communication skills; - Availability to match the schedule of “Ciências em Harmonia” activities; - Good knowledge
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processes. Preferred factors: Knowledge of Industrial and Systems Engineering Knowledge in preparing scientific articles in the field of sustainable electric mobility Knowledge in complex systems modeling and
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to this type of text; Validate the results of the LLM models developed by the computer science team for information identification, extraction, simplification and summarization tasks in European Portuguese