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Field
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) , “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical
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. Working plan: 1- Study of the incidence of emerging contaminants surface waters the North of Portugal using chromatography methods with tandem mass spectrometry; 2- Development and characterization of “deep
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Reference Number AE2026-0036 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0036.pdf CALL FOR
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application is now open for the attribution of 4 (four) Research Initiation Fellowships, with reference 21/2026/BII/AgendasPRR, for development of scientific and technological research activities, under
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of the R&D project/institution NUMAPLUS - Más allá del nuevo modelo asistencial: regiones cardio aseguradas, 0237_NUMAPLUS_5_E, funded by the European Regional Development Fund through the Interreg-POCTEP
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developed involves continuous analysis of the state of the art, the definition and specification of technical and functional requirements, as well as the design of data models, synchronisation algorithms and
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Engineering, University of Coimbra III- Scientific supervision/coordination of the grant: Mahmoud Tavakoli IV - Work Plan / Goals to be achieved: To study and develop methods for fabrication of multi-layer
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
-Law nr. 123/2019, of August 28; FCT Regulation for Research Studentships and Fellowships, available on https://dre.pt/application/file/a/127230968 . Workplace: The work will be developed at Institute
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the development of research work leading to the award of the respective academic degree, whether or not integrated into R&D projects. 2. The scholarships referred to in this article may also be intended
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting