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proficiency – 20%; - Criterion 4: Interest in conducting research and knowledge in the fields of Artificial Intelligence, Data Analysis and Transformation, and Spatio-temporal Data Representation – 40%; VII.III
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also demonstrate knowledge in the spatial analysis of GPS data, with the ability to process and interpret information obtained from tracking devices. The fellow will directly support the experimental and
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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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to express oneself and verbal fluency – 20%; - Criterion 3: English proficiency– 20%; - Criterion 4: Interest in conducting research and knowledge in the fields of Artificial Intelligence, Data Analysis and
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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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strategies". The work plan includes: -Design and programming of behavioural and MRI experiment as described in the project proposal. -MRI data analysis (at the supervision of senior researcher and technician
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Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Additional Information Work Location(s) Number
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LevelBachelor Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity of CoimbraCountryPortugalCityCoimbraGeofield Contact City Coimbra Website http
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execution of the various components of the project and will actively contribute to data analysis and interpretation. Their work will be key to the development and validation of robust preclinical assays with
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20 Jan 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Mechanical engineering Researcher Profile First