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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
transmission mechanisms using Regenerative Artificial Intelligence; - Develop a prototype for image transmission based on regenerative AI semantics; - Integrate and test the solution with an emulated HF testbed
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. Although these systems improve the performance of radiologists, they usually only allow visual description of the tumors, limiting themselves to a subjective and qualitative characterization. The objective
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for the automatic detection of pulmonary nodules on CT are one of the most studied applications. Although these systems improve the performance of radiologists, they usually only allow visual description
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The main objective of this work is to develop an intelligent control and coordination module for robotic
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artificial intelligence - Evaluation of interface design, usability assessment, and user experience - Autonomy Minimum requirements: - Minimum score of 70 points in the curriculum assessment. - Availability
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. Although these systems improve the performance of radiologists, they usually only allow visual description of the tumors, limiting themselves to a subjective and qualitative characterization. The objective
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results obtained.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Development of a software dashboard for cataloging modular bioinformatics processing pipelines, allowing the user to visually
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, smart farming, smart cities, and intelligent transportations. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Understanding of the cyber-physical system and its application in the intended
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cycle or non-award courses of Higher Education Institutions. Preference factors: - Excellent performance in programming, software development, and artificial intelligence courses.; - Advanced knowledge
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requirements: Student currently enrolled in a Bachelor's degree program in Electrical and Computer Engineering, Computer Engineering, Artificial Intelligence, or a graduate in the same fields. The awarding