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at one of the universities partnering in the DRYAD project (https://dryad-project.eu ). Work Plan: The candidate's main tasks will involve hydrological and hydrogeological modeling of the study areas
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: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact
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analysing existing evidence and data and tools relevant to sustainable urban development; Designing an interdisciplinary stakeholder engagement methodology to foster collaborative governance and co-creation
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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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) , “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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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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for sustainable, future-proof seaweed production. Tasks the fellowship holder will perform: ⦁ Seaweed strain isolation, cultivation, characterization, strain selection, protocol development, bioremediation
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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 and Computer Engineering. INESC-ID’s
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
modelling and stepped revetments; development of pre- and post-processing scripts to analyse numerical modelling simulations; implementation of a phase-resolving wave model to simulate wave propagation and
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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