76 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Universidade de Coimbra
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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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-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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: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 40%; VII.II- I – In the evaluation of the interview, candidates' performance
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%; - Criterion 2: Scientific dissemination actions – 40%; - Criterion 3: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 20%; VII.II
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or radiologist) -Analysis of behavioural and fMRI, DTI or anatomical data (depending on what the fellow wants to learn) -Activities, which are required from a PhD student (e.g., pre-defense, attending obligatory
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laser repair system that integrates corrosion assessment, cleaning, cutting, repair, and painting within a single robotic unit. Using computer vision, machine learning, and predictive models, it enables
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available at http://www.fct.pt/logotipos/ and, where applicable, the logos of the European Union and the Operational Programme is expressly mandatory, following the graphic standards available
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-59 I - Legal admission requirements I.I - Grant Recipients: Students enrolled in a doctoral degree, in the scientific area of Biomedical Engineering, Computer Engineering, Physical Engineering
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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