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Field
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Engineering or related areas; ii) Suitability of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in image analysis 3. Work plan: i) Develop mathematical
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classification models in medical images; Research and develop techniques of data and model auditing, identifying potential gaps or vulnerabilities in Computer Vision, to guarantee the robustness of ML development
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Research Infrastructure? No Offer Description Applications are open for 1 Scientific Initiation Studentship, for a master's student, within the scope of ACIM - Communication, Image and Marketing Unit
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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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degree in Environmental Engineering or Geological Engineering Proven experience, demonstrated by a (digital) portfolio, in projects involving image acquisition by Unmanned Aerial Vehicles, non-planar
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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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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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Editing of 2D and panoramic images and 3D processing Ensure the processing of photographed objects, in accordance with the defined technical specifications 4. Applicable Legislation and Regulations: Law No
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the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable