41 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" scholarships at Universidade de Coimbra
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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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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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qualifications. 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: Ana Cristina Bairrada
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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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of their academic qualifications. 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: Naghmeh
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of their academic qualifications. VII.VI - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Luísa Maria
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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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degree, in the scientific area of Biomedical Sciences, Biology, Biochemistry, Psychology, Biomedical Engineering, Computer Engineering, Physical Engineering, Electrical Engineering; Clinical Neurosciences
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of Biomedical Sciences, Biology, Biochemistry, Psychology, Biomedical Engineering, Computer Engineering, Physical Engineering, Electrical Engineering; Clinical Neurosciences, Neuroengineering enrolled