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de linguagem (LLMs), agentes e sandbox)”, ref. Projeto Interno REACT-NET/I&D+i/IPLeiria/2026, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Computer Engineer. . RECIPIENTS: Holders
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(UAVs) e redes Low-Power Wide-Area Networks (LPWAN)”, ref. Projeto Interno REACT-NET/I&D+i/IPLeiria/2026, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Computer Engineer. . RECIPIENTS
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Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission Requirements 1
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 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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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific
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) Electrical and Computer Engineering, in the specialisation area of Communication Networks, or related areas and with a suitable scientific and professional curriculum may apply. The candidate(s) must be
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific
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of the Polytechnic of Leiria, Pedro António Amado de Assunção Where to apply Website https://recrutamento.ipleiria.pt/processos-ativos/bolseiros/concurso?recruitmen… Requirements Research FieldEngineering » Computer
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in a Computer Science BSc. Preferential factors: • Solid knowledge of Knowledge Representation and Reasoning Systems. • Solid knowledge of Neural Networks. • Research experience in the relevant areas