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microgravity environments. The fellow will have the opportunity to acquire skills in research applied to space technology, combining theoretical analysis, simulation, and experimental validation. 4. REQUIRED
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engagement with suppliers for comparative analysis of commercial solutions.; • Participation in the installation and integration of the characterization system within the laboratory environment.; • Execution
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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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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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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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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26 Aug 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 26
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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
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of these features in other DevOps platforms, such as GitLab. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Experimental analysis of the requirements, functionalities, and limitations of the GitHub Actions