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OF THE WORK PROGRAMME AND TRAINING: - In-depth study of public human movement datasets; - Define protocols for data collection using motion capture systems and curation of the resulting data; - Design
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factors: - Knowledge of electrical distribution networks; - Knowledge of machine learning.; - Experience in software development and APIs.; - Fluency in English (written and spoken). Minimum requirements
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monitoring frameworks, and on measuring the energy impact incurred over different computational resources. Minimum requirements: - Experience with software-defined control systems (e.g., Cheferd, PAIO, PADLL
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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of a multi-modal dataset.; - Implementation of a software module for storing datasets according to a pre-defined standard.; - Development of routines for testing existing ML algorithms on a multimodal
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OF THE WORK PROGRAMME AND TRAINING: - In-depth study of public human movement datasets - Characterisation of personas - Establish the co-design protocol and monitor the development of interfaces - Define
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi
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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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and development of concepts and techniques in the area of Software Engineering, which are usually introduced in curricular units included in the curricula of the Integrated MSc in Informatics