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Research Grant under the 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 and by
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communications over the developed VLC transmitter and receiver, using optimized modulation, coding and digital signal processing; 4) to demonstrate the real-time processing of the developed VLC transmitter and
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in sustainable urban transformation processes; Assisting in data collection, processing, and qualitative and/or quantitative analysis; Supporting the preparation of deliverables (e.g., impact
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converted into electrical signals, providing a rapid, continuous, and sensitive method for detecting radioactive gases. The chemical challenge lies in synthesizing a monolith (a single-piece material) with
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associated with research group of Professor Abhik Ghosh (https://en.uit.no/project/softmatter ). The Ghosh group is renowned for its fundamental discoveries on corroles and is currently exploring a variety of
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
novel and relevant biological knowledge on molecular mechanisms and signalling pathways underlying the global response and robustness of yeasts under stress induced by weak acids, with impact in circular
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
expected to begin in April/2026, and not be renewed. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos
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Computer Engineering, or related areas. EVALUATION CRITERIA The selection will be based on the following criteria: Experience (internship) with analog and mixed signal schematic and layout design in
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training and the creation of art using AI tools are particularly relevant. Other possible research topics include artistic exploration of how AI affects creative processes, audience engagement with art, AI
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into a highly active research team with strong international visibility in image and video compression, learning-based coding, and multimedia signal processing. This project is funded by FCT/MECI through