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the project funds. The payment will be made by bank transfer. Selection procedure: A curricular assessment (60%) will be carried out, in which the following factors will be weighted: a) Academic training
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds through FCT (Operation No. 15391 — COMPETE2030-FEDER-00907300), under the following conditions
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morphodynamics of geologically controlled coastal barriers, including expertise in analysis of satellite imagery and implementation of XBeach model to mixed sand and rocky coastal systems. Preferential factors
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the local molecular composition and transient interactions of molecules within glycocalyces, and missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows
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the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26-80 I - Legal admission requirements I.I
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topics for independent study projects include modeling carbon tradeoffs under unplanned fire and the long-term outcomes of restoration treatments for structure, composition, and tree vigor. The fellow will
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9 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key