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Field
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Graphics, Augmented Reality and/or Image Processing is not mandatory but will be valued; Knowledge of CUDA, Holoscan, and other NVIDIA environments is not mandatory but will be valued; academic excellence
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image, audio and video capture and editing; - planning and managing teams and scientific and cultural activities. Proficiency in English (written and oral communication) will also be valued. 3) Valued
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Analysis.Experience with digital image processing and experience with Digital Paleography tools (e.g., Kraken OCR, eScriptorium, Transkribus, HTR-United) will be valued. It also stipulates that proficiency in English
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Development Fund (ERDF) though the “Programa de Inovação e Transição Digital” (COMPETE2030), taking place at the Laboratory of Image and Video Technology of Faculty of Sciences of the University of Beira
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with MDE and Object Detection models; Experience in depth data collection and curation, including 3D reconstruction and synthetic image generation. Other skills: Excellent English communication skills
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and complex environments, based on partial system views. Implement a reference prototype of the developed solution. Experimentally evaluate the proposed solution by comparing it to the state of the art
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tau aggregation and distinguishing between different tauopathies. The fellow will develop imaging protocols using advanced microscopy techniques to visualize and characterize the molecular uptake
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web frameworks, REST/GraphQL APIs, automated testing). • Continuous integration and continuous delivery (CI/CD) in a cloud environment. • Functional validation and performance of the prototype in a
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for the development of the prototype should be entirely synthetic. For this purpose, generative artificial intelligence tools (5)(GenAI) should be used to create users with different profiles and relevant datasets
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and functional requirements of the system, analysis of data sources and characteristics, definition of performance metrics and criteria for comparison between approaches. 3) Initial prototype