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Field
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management, public policy and engineering, technology management, or related fields Experienced, or willing to become an expert in the sustainable transformation of infrastructure and simulation models
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conditions of the grant VI.I - Monthly grant amount (paid by bank transfer at the end of each month): 1.309,64€ VI.II - In addition to the above amounts, voluntary social security (SSV) is included when
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the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of representations in multi-task settings
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operation code at the Funds Platform (Balcão dos Fundos) NORTE2030-FEDER-01794400, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following conditions
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link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
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focus of this position is research on hydrodynamic loads and performance of tidal turbines under realistic flow and clearance conditions. Tidal-stream energy offers a predictable, complementary renewable
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manufacturing (3D printing) techniques. The purpose of the studentship is to develop a next-generation in vitro model of aged human skin to evaluate the cytocompatibility of materials used in maxillofacial