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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
of the work developed; - prepare the research grant activity report. ; ; Research Topic #2 – Semantic Communications in RF Links; - Study and analyze the state of the art in semantic communications and image
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of the work developed; - prepare the research grant activity report. ; ; Research Topic #5 – Prototype for Semantic-based Next Generation Communications; - survey and analyze the state of the art in emerging
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, specifically in extracting information from satellite images and sensors (IoT/UAV), and characterising soils and animals to feed the system's models and dashboards.; Tasks:; - Contribute to the state of the art
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to the scientific tasks of the project CINDERELLA in medical image analysis; - Identify and select appropriate methods for object detection in medical images ; - Develop research skills through the application
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current code base; ● Implement prototype for the Fortran source-to-source compiler Metafor; ● Create source-level strategies targeting Fortran loops; ● Evaluation of the techniques and experimental results
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: • Experience in developing image processing algorithms for weeding or pollination; and; • Experience in developing micro drones with potential for weeding/pollination. Funding Entity: on the scope AGROBOOST
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planning/optimisation modules and the explainability of decisions in the dynamic virtual fence prototype.; Tasks:; - Contribute to the state of the art and support the writing of technical-scientific
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key/value lookup – and the internal mechanisms — compression and expansion — that ensure the efficiency of the data structure. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The work plan
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the creation, management, and deployment of software images using containers, as well as job execution scripts and result collection; ; (d) Design, specification, and development of benchmarking software systems
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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing