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reference. The research will be integrated in the Image and Vision Laboratory of Universidade da Beira Interior. It is requested the presence at the laboratory. Scientific Area: Information and Data Sciences
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safe responses by LLMs and LVLMs (multimodal). • Integration of the developed contributions in the project prototype. • Coordination of activities with the other project partners. • Production of reports
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consumption over large-scale infrastructures; - Implementation of an experimental prototype and comprehensive evaluation in real scenarios (e.g., supercomputers).; ; The tasks described in this working plan
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of a prototype that includes the new content generation features, as well as traditional features of these tools (e.g., different access patterns, operation types, request sizes).; Evaluation
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, simulate, and prototype control circuits tailored to the selected electronic devices.; 3. Collaborate in the development of antenna prototypes integrating the electronic devices.; 4. Support the preparation
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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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) Prototype evaluation and model optimisation . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Prof. João Manuel Matias. . GRANT FINANTIAL
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public-sector partners. Scientific Area: Information and Data Sciences Group: Pattern and Image Analysis – Lx Work Objectives: OptiGov (https://sciproj.ptcris.pt/en/176741PRJ ) targets the optimisation
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and building structures, Artificial Intelligence methodologies for automatic detection of structural anomalies, and application of reality capture technologies using images and point clouds. • High
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on the date of application. 4. Work plan The students will participate in the various tasks that involve one of the following projects: Reference 1: Multimodal Language Model for defining metadata for images