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Field
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therapeutical approaches. Methods: To leverage the multi-omics platforms and advanced data analysis tools established by NIMSB/MDC to identify genes, proteins, or signalling pathways that are altered in
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collection and analysis in the field of digital education, particularly concerning AI and its integration in pedagogical practices in the 1º Cycle of Basic Education. 1. Research field/Scientific area
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. Planned Tasks: (1) Develop LES/RANS numerical simulation models for the hydrogen mixing and injection prototype; (2) Validate the numerical models through experimental analysis at the PRF facilities in
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project, the work plan consists of a detailed analysis of the operational control parameters of the WIT process, technological research (process; materials; geometries), and support in defining
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. Collection, integration and analysis of data from various sources (e.g. clinical, biochemical); 2. Databases creation and update, and application of statistical methods for analyses; 3. Performing functional
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DCs a comprehensive education encompassing the latest developments in MCF, component and subsystem design and implementation, and the practical engineering aspects of MCF-based systems and networks
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Preferential admission requirements: Reference 1 1) Knowledge in the area of software conception and design, including requirements gathering and analysis; 2) Knowledge in the area of information systems, in
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number) of other merit elements from the academic, scientific, professional, and civic background considered relevant to the project activities, based on the candidate’s CV and motivation letter, supported
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Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR
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people with mild to moderate dementia, caregivers, and healthcare professionals, and in report writing. Support in data collection, analysis, dissemination of results, and validation of questionnaires