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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
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technological experience in multiphoton imaging; iv. To be or have been principal researcher in projects with cumulative funding equal to or greater than 2 (two) million euros. V.2.2. The Selection Committee
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;Leverage advanced methodologies to integrate multimodal imaging, genomics and proteomics data to dissect mechanobiology mechanisms of complex biological systems;Plan and perform R&D activities, develop