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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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ADVERTISEMENT Recruitment of 1 Doctorate in the field of Virtual Reality INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, a private research institution, is accepting
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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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to study and demonstrate the benefits of the proposed multi-agent Agentic RAG approaches.; 4. REQUIRED PROFILE: Admission requirements: Master's student in Computer Engineering or related field. The awarding
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infrastructures. Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Demonstrated experience in a professional context. 5. EVALUATION