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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
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: The workplan is focused on the design of the DES able to meet three main requirements: i) be compatible with lignin and bitumen; ii) have antioxidant properties; iii) act as a thermal stabilizer of
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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institution must be recognized by a Portuguese higher education institution in accordance with article 25 of the Decree-Law no. 66/2018, of August 16, which approves the legal regime for the recognition
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this role, you will be involved in the planning, management and delivery of a fast-paced 8-month project on water resources. You will lead the design, development and execution of a multi-model simulation
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research on biometric recognition, presentation attack detection, and multimodal fusion. Coordinate the research activities with the SAFE Center. Design, collect, and manage biometric datasets (face, iris
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computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms
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obtained overseas for which the relevant official approval, statement of comparability or recognition has not been secured by the application deadline, the applicant will be required to present evidence that