102 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Universidade de Coimbra
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jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Licínio Gomes Roque Effective Members: Jorge Carlos dos Santos
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-All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition: President: Márcio Duarte Albino dos Santos Effective
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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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objectives: 1 – Development of a tool for identifying operating regimes using machine learning techniques. 2 – Development of a tool for identifying the causes of process eco-efficiency degradation using
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Sofia Lopes Marques , Where to apply Website https://www.apply.uc.pt/procedure/qtfqevwbfknfoejz Requirements Research FieldBiological sciencesEducation LevelBachelor Degree or equivalent Skills
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necessary for the service to be provided outside the usual workplace. Where to apply Website https://app-4.apply.uc.pt Requirements Research FieldOtherEducation LevelPhD or equivalent Additional Information
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. More information available at: https://www.uc.pt/academicos/graus/reconhecimentos . The failure to present the recognition of the degree at the time of contracting, under the terms of Decree-Law nr. 66
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the fee until the final ranking. More information available at: https://www.uc.pt/academicos/graus/reconhecimentos . The failure to present the recognition of the degree at the time of contracting, under
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- The curriculum evaluation considers the candidates' academic and professional achievements based on the following weights and criteria: - Criterion 1 - Academic performance in subjects within the areas of Machine