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simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power consumption and
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hybrid model structures for the production of biosimilars; Development of deep learning algorithms for hybrid model structures; Optimisation of reactor control based on deep hybrid models; Implementation
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve
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: Review of the State of the Art in AI and Procurement; General system design; Development of AI algorithms and functionalities (including testing and evaluation) Preparation of project reports as
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, annotating and structuring databases, as well as feature engineering for computational modelling; d) Experience in the development and application of machine learning algorithms to the analysis of biomedical
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that provides AI-based suggestions. The work will consist in the improvement and evolution of previously developed models, as well as interacting with project partners to integrate algorithms and conduct field
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: Review of the State of the Art in AI and Procurement; General system design; Development of AI algorithms and functionalities (including testing and evaluation) Preparation of project reports as
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suitable voltage and frequency control strategies, based on state-of-the-art research, and development of dispatch algorithms for the isolated microgrid, considering the coordinated control of generation
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algorithms for analyzing electrocardiography, electromyography and movement signals, identifying characteristics and recognizing patterns in everyday activities. Testing and validation of methods developed in
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or international conference. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Research and development of algorithms for analyzing signals acquired in real time by a system with integrated