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cellular respiration, particularly using the continuous monitoring system Resipher; 5. the analysis and interpretation of the resulting data. V - Initial grant duration: 6 months V.I - Renewal Possibility
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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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LevelBachelor Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity of CoimbraCountryPortugalCityCoimbraGeofield Contact City Coimbra Website http