10 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" scholarships at INESC TEC in Portugal
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. Preference factors: - Outstanding academic performance in subjects such as Machine Learning and Artificial Intelligence; - Demonstrated knowledge and skills in Data Science or HCI (Human-Computer
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learning methods; Experience with multivariate time series. Minimum requirements: Enrollment in a master’s program in Computer Science or a doctoral program in computer engineering or a related field, or in
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of Higher Education Institutions. Preference factors: ▪ Previous experience in Artificial Intelligence and Machine Learning applied to energy systems or microgrids.; ▪ Previous experience in MATLAB/Simulink
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programme Reference Number AE2026-0088 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0088
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of machine learning and deep learning methods and classification of health and wellness parameters. Data acquisition, as well as the preparation of presentations, scientific publications, and technical reports
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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machine-learning methods for sample segmentation and classification. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The fellow will join the INESC TEC team within the LIBScan project, carrying
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Reference Number AE2026-0057 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0057.pdf CALL FOR
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Reference Number AE2026-0036 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0036.pdf CALL FOR
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Reference Number AE2026-0054 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0054.pdf CALL FOR