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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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on https://apply.uc.pt/ . VII.IX -Jury Composition: President: Paulo José Venda Oliveira Effective Members: António Alberto Santos Correia, Licínio Manuel Gando de Azevedo Ferreira and António Manuel
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. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/. ; VII.IX - Jury Composition: President: Mikhail Ordin Effective Members
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https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply. Documents uploaded for the application must be in portable document format (PDF). Applications
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on synthetic organic chemistry advanced analytical skills, and a profound interest in the understanding of early Earth geological and geochemical processes. The successful candidate will carry out the research
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Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Additional Information Work Location
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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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be complied with. Selection process The selection process must comply with article 11º of the FCT Research Scholarship Regulation, IP (Regulation No. 950/2019) or article 9º of the UCP grants. In
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the interrelationship between different variables (flow, water quality, and activities associated with operation); Model water supply systems using specific software; Develop an algorithm for interaction with the APIs