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in Machine Learning, Deep Learning and Data Analysis. Deep Learning and Data Analysis; - The candidate's scientific curriculum and ability to publish scientific work will be valued. -Suitability
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advanced Machine Learning and Deep Learning technologies to automate the identification, classification, and analysis of millions of rock art images. We seek talented and passionate professionals who wish
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this project are the following: Research and development of classical and deep learning approaches for the segmentation and classification of respiratory sounds and lung EIT images Work Plan: 1. Research and
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interfere with the patient and allow capturing a wide range of exercises. Besides, t he use of a deep learning approach can capture the most significant features leading to highly accurate human pose
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: Research Field: Computer Science Admission Requirements: Undergraduates in computer engineering or related area, preferably with experience in Deep Learning methods/techniques. Work Plan: 2 Research grants
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Machine and Deep Learning. Admissibility requirements: It is essential, under penalty of not being admitted to the competition, to attach the following documents to the application: The candidate's
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
of dementia or Alzheimer. The work will involve the development of image processing pipelines, machine (deep) learning architectures and time-series analysis of eye-gaze signals, while providing sufficient
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extraction; Knowledge of Artificial Intelligence and Machine and Deep Learning. Admissibility requirements: It is essential, under penalty of not being admitted to the competition, to attach the following
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interfere with the patient and allow capturing a wide range of exercises. Besides, t he use of a deep learning approach can capture the most significant features leading to highly accurate human pose
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study cycle or non-award courses of Higher Education Institutions. Preference factors: Top-level publications Minimum requirements: Good knowledge of Python and Deep Learning; Experience with tensor flow