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AI and Federated Learning concepts;; - Demonstrated leadership capabilities. Research FieldEngineering » Computer engineeringYears of Research ExperienceNone Research FieldComputer science
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-award courses of Higher Education Institutions. Preference factors: Machine Learning Knowledge. Knowledge of signal processing and machine learning libraries (e.g., PyCaret, scikit-learn). Minimum
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of Machine Learning techniques. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based
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://repositorio.inesctec.pt/editais/pt/AE2025-0360.pdf CALL FOR APPLICATIONS — R&D&I Project Manager Job reference: AE2025-0360 (OCEAN_FCT - OCEAN) Institution: INESC TEC – Institute for Systems and Computer Engineering
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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domain in the design of deep learning algorithms for cardiovascular disease detection. 4. REQUIRED PROFILE: Admission requirements: Master's degree in Biomedical Engineering, Computer Engineering
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months, starting on 2025-12-01 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Diogo Neves Workplace: INESC TEC
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TRAINING: Literature review on anomaly detection in network data; Using deep learning to detect anomalies in network data flows.; 4. REQUIRED PROFILE: Admission requirements: Degree in Computer Engineering
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results. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Develop machine learning-based models from data.; - Validate the developed models with real data.; - Publicize the work in international
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AND TRAINING: - survey and analyze the state of the art in emerging wireless networks, including simulation aspects using real data assimilation, Machine Learning, and digital twin approaches