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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days ago
supramolecular networks/IST-ID), (1801P.01682) 2024.14207.PEX, financed by national funds through FCT/MCTES (PIDDAC Workplan: This project focuses on self-replication driven by self-assembly, using computer
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 12 hours ago
The fellowship will have an initial duration of 6 months, with an estimated start date of May 25, 2026. The fellowship contract may be renewed for an equal or different period until the project ends, provided
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literature review on New European Bauhaus principles and analyze the specific urban challenge of the assigned demonstrator site. - Select and define the specific digital tools or participatory methods (e.g
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
national funds through FCT/MCTES Workplan: Implementation of 3D reconstruction methods from depth data. Duration: The research fellowship(s) will have the duration of 3 months. It’s expected to begin in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
are the following: This grant aims to benchmark deep learning-based CAD-Free RGB(D) pose estimation methods for spacecraft applications (2 grants) This grant aims to develop robust MPC strategies based on two player
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: Hydrology, Water Resources, Data Science, and Computing Admission requirements: BSc or MSc degrees in one of the following areas: Civil Engineering, Computer Engineering, Environmental Engineering, Physical
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computer engineering. Enrolment in a master programme in Computer Engineering. The documents proving the enrolment in a master programme in Computer Engineering must be presented, at the latest, up
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Recipients profile/category Mandatory requirements: Bachelor’s degree in computer engineering. Enrolment in a master programme in Computer Engineering. The documents proving the enrolment in a master programme
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). Reference: BI/UTAD/14/2026 Scientific area/research field: Engineering Researcher profile: First Stage Researcher (R1) Admission requirements: Master's degree in Electrical Engineering, Computer Engineering
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, and artificial intelligence, and with experience in probabilistic models,computer vision based object detection tools, and reinforcement learning techniques. Selection process Contest Evaluation Method