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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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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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-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
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and signal processing. Minimum requirements: Student in Biomedical Engineering or related areas. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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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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the evaluation process. Failure to indicate the competition reference, the lack of any of the documents required in the application, or the sending/delivery of the application to a location other than that
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Curriculum Vitae; ii) Documents proving the academic degrees obtained and their classification* (in the application phase may be replaced by a declaration of honour as stated in point no. 2). iii) Declaration
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signal processing; Previous experience in computer vision; Minimum requirements: MsC in Computer Science, Informatics Engineering, Data Science or Bioengineering. 5. EVALUATION OF APPLICATIONS AND
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Plan: Processing of electricity network data for the execution of the project work plan; Analysis and simulation of the electrical network to assess constraints to MIBEL’s operation in PNEC’s time