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Institute for Molecular Medicine (GIMM) opens a call for one research fellowship under the project “Pyrazinones as novel Quorum Sensing signals mediating interspecies signaling in the gut Microbiota” with
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the state of the art in science and technology in the field of brain-computer interfaces and physiological signals; 2. To support the definition of technical and functional requirements for the system
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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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Institute for Molecular Medicine (GIMM) opens a call for one research fellowship under the project “Pyrazinones as novel Quorum Sensing signals mediating interspecies signaling in the gut Microbiota” with
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). Distribution transformers are critical components within electrical networks, and their reliable operation is essential to maintain service continuity and reduce economic losses resulting from unexpected outages
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 8 days ago
. - COMPETE2030-FEDER-00707100, Operation No. 15942, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
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use in process heat and/or refrigeration production systems in industries; analysis of the energy and economic performance of process heat and/or refrigeration production systems in industrial
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Identification Number of the fellow identified in the contratualization process. Other components of the research grant: Define other components of the scholarships, as provided for in Article 18º of the FCT
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-award courses of Higher Education Institutions. Preference factors: Machine Learning Knowledge. Knowledge of signal processing and machine learning libraries (e.g., PyCaret, scikit-learn). Minimum