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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
by LA/P/0083/2020 and 1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 – LASEEB/ISR, financed by national funds through FCT/MCTES Workplan: The scholarship holder will acquire electrophysiological data (EEG
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knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5
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; - Development of a simulation module for parcel delivery operations, integrating traditional simulation techniques with Machine Learning models; - Development of algorithms for the integration of Machine Learning
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). Development and validation of machine learning models for calculating occupational health indicators. Integration, management, and analysis of data from wearable monitoring devices. Experimental evaluation
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biosignals. Application of machine learning techniques for classification of different classes using the extracted features. Assembly, documentation, testing, and use of an innovative biosensing system
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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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application d) Previous experience with computational modelling and machine learning. Additional optional skills and qualifications: Experience with Soft and Living Matter. Contracting requirements
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1 Sep 2026 Job Information Organisation/Company University of Minho Department Centro ALGORITMI Research Field Engineering » Computer engineering Researcher Profile Other Profession Positions
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machine learning). Minimum requirements: Average grade of 18 in the Master Degree in Industrial Engineering and Management. Proficiency in Portuguese and English. 5. EVALUATION OF APPLICATIONS AND SELECTION
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. The role will support multidisciplinary work on immersive AI systems for therapy, rehabilitation, research and human-machine interaction, with responsibility for the physical and technical infrastructure