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applications for a Research Initiation Grant within the framework of the project “RENURE – Integrated and circular process for the recovery of nutrients and removal of micropollutants from waste water”, with nr
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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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institutions, a certificate of degree recognition in Portugal must be included with the application. Failure to provide this document will result in exclusion from the selection process. d) Two reference
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of Grants within the scope of R&D Projects, the Code of Administrative Procedure (CPA), all in their current wording, and other applicable national and EU legislation. Procedure Reference: IT137-25-354 I
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Grant within the framework of project “CleverHinge”, with nr. 21202 and operation code at the Funds Platform (Balcão dos Fundos) COMPETE2030-FEDER-02209600, co-financed by COMPETE 2030, by Portugal 2030
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aestivum),for industrial processing, and for the development of a technological itineraryin the respective agri-food sector,with definition of the nutritional composition of the grain. 2. The recipients
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the mineral processing processes to valorise waste materials (mining wastes). Under this task, different mineral processing techniques will be tested with the previously selected mining waste. The main
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the commitment to respect a set of responsibilities essential to the evaluation process, such as the duties of impartiality, of stating any potential situations of conflict of interest and confidentiality
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of consultations from texts based on a provided example • Organization of the collected data and its submission to the EquiVet.AI project scholarship holders in the field of Computer Engineering and affiliated with
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by European Funds NextGenerationEU, under the following conditions: Scientific Area: Electrical and Computer Engineering Admission requirements: Candidates who cumulatively meet the following