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the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project “Implementation of an automatic system for detecting and counting trees in high-resolution images using artificial
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in USN’s PhD-program in Ecology within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof
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technical specifications: - Material selection and characterization - Injection mold development - Prototype construction - Testing and trials - Disclosure, promotion, and dissemination of results . WORKPLACE
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in the motivation letter. Additional optional skills and qualifications: Previous experience in: segmentation of magnetic resonance images (MRI) of the brain and spinal cord; generation of surface and
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: Knowledge or experience in the development of metrology systems using lasers and image processing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable
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practices. The findings will serve as the empirical foundation for the security framework. Defensive Strategies: Propose and prototype new defensive architectures and techniques that can be integrated
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focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research collaborations and
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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on exciting discovery and translational research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and
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research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research