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algorithms; - Automation of the model customization process by conducting laboratory tests.; - Improvement of the data workflow for real-time processing and sharing.; - Data collection in experimental and real
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, models, or protocols developed; - collaborate in the development of new communications solutions for extreme environments; - contribute to co-authored scientific publications within the scope of the work
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electrical engineering projects.; - Knowledge of libraries for developing and training ML models; Minimum requirements: - Knowledge of computer programming. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
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) videos in the context of diagnosing sleep disorders, particularly REM sleep behavior disorder (RBD). The activities to be performed will include:; 1) Training and validation of machine learning models
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Electricity markets modelling; Self-consumption and impact on wholesale market ; Write technical
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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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of this project is to create a radiomics and radiogenomics based approach to describe and create predictive models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK