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the job funded through the EU Research Framework Programme? Other EU programme Reference Number 16890-LISBOA2030-FEDER-00817300 Is the Job related to staff position within a Research Infrastructure? No
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funded through the EU Research Framework Programme? Other EU programme Reference Number CENTRO2030-FEDER-02614400 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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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 ADDF
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
Applicable Offer Starting Date 24 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number LISBOA2030-FEDER-00853500 Is the Job related to staff
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Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number Operação Nº 17044 - LISBOA2030-FEDER-00833700 - #NOVAID259 Is the Job
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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 Objectives Objective 1: Review and synthesis
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24 Sep 2025 Job Information Organisation/Company Instituto de Telecomunicações Research Field Engineering » Electrical engineering Engineering » Computer engineering Mathematics Researcher Profile
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17 Nov 2025 Job Information Organisation/Company Universidade de Coimbra Research Field Computer science » Informatics Engineering » Other Researcher Profile First Stage Researcher (R1) Positions
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the EU Research Framework Programme? Other EU programme Reference Number ABC CoLAB/Ref.12/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description (EN) The ABC CoLAB
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related to Computer Science, Machine Learning, Data Science, Information Management or other related areas; Have skills in the development and application of machine learning models in supervised and non