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Communications Group: Optical Communication Systems and Networking – AV Work Objectives: 1) Development and implementation of novel digital signal processing (DSP) algorithms, adaptive forward error correction
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, and data analysis for human subjects research. · Develop and apply computational models and algorithms to support robotic augmentation studies. · Contribute to manuscript preparation and dissemination
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 2 months ago
the last mile of maritime container Supply Chain Management, through the analysis, development, and implementation of advanced Artificial Intelligence, optimization, and decision-support algorithms within
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performance. The developed methods and algorithms will be validated on both scaled in-house test setups and Å Energi’s pilot HEPs, in collaboration with Volue Industrial IoT AS. Active collaboration with other
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recommendation mechanisms based on semantic analysis and natural language processing, with the aim of facilitating collaboration and convergence of proposals. Developing and training NLP algorithms in multiple
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relevant research techniques and methodologies Strong publication record commensurate with the applicant’s career stage. Algorithmic and model development skills, and a familiarity with relevant machine
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data to assess fault impacts on efficiency and to forecast system performance. The developed methods and algorithms will be validated on both scaled in-house test setups and Å Energi’s pilot HEPs, in
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. Research experience in relevant research techniques and methodologies 3. Strong publication record commensurate with the applicant’s career stage. 4. Algorithmic and model development skills, and
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise