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Images Work Plan: -Review of the state of the art on image segmentation models. -Implementation of prototype optimizers for neural networks. -Experimentation with the developed prototype and analysis
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on the defined objective; T2: Define specific research objectives and discuss their relevance, complexity, and innovation potential of researching these problems. T3: Present and discuss the proposed methodology
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
measurements in water distribution networks. Duration: The research fellowship(s) will have the duration of 6 months. It’s expected to begin in February, 2026 and may be renewed. It is mandatory to formalize
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
networks. Duration: The research fellowship(s) will have the duration of 6 months. It’s expected to begin in February, 2026 and may be renewed. It is mandatory to formalize applications with the submission
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will be part of the project team of Agenda GreenAuto: Green Innovation for the Automotive Industry, no. C644867037-00000013, investment project no. 54, in the context of PPS10: Neural Network-based
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Response for building Emergency Networks March 6, 2026 — The President of the School of Health at the Polytechnic Institute of Porto, Professor José Miguel Silveira Correia Saúde. Where to apply Website
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and identification of new crystallization conditions for the native protein and PtpA-inhibitor complexes (soaking/cocrystallization). Data collection either in-house or using synchrotron radiation
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of experimental protocols for the recovery and cultivation of bacteria from complex samples; c) Acquisition and processing of Fourier transform infrared spectroscopy (FT-IR) spectra of bacterial isolates; d
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mountains creates complex wind patterns that may pose risks to aviation safety. This project aims to: identify the flow regimes that cause unacceptable disturbances to aircraft during flight, and classify
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engineering projects is increasingly complex, particularly when balancing human expertise and Large Language Models as collaborative agents. This project aims to propose a reputation-based agentic Artificial