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Education Institutions. Preference factors: Experience in research activities Minimum requirements: Knowledge of Computer Vision and Machine Learning 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
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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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2 Oct 2025 Job Information Organisation/Company INESC TEC Research Field Engineering Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 17 Oct 2025 - 23:59 (UTC
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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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Requirements Academic qualifications: BSc in Computer Science, Computer Engineering or similar. Minimum profile: Enrolled in a Master’s program in the relevant admission area., Knowledge of Machine Learning
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., PyCaret, scikit-learn). Research FieldComputer science » Computer systemsYears of Research ExperienceNone Additional Information Benefits Maintenance stipend: 1309.64 euros, according to the table of
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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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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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://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