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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
Applicable Offer Starting Date 7 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number LA/P/0083/2020 Is the Job related to staff position within
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
the Regional Program Lisboa 2030 Workplan: The candidates will be expected to develop activities associated with the PREDICT Scientific Research & Technological Development Project, namely activities associated
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6 Nov 2025 Job Information Organisation/Company FCiências.ID Department HR Research Field Biological sciences » Biodiversity Environmental science » Ecology Researcher Profile First Stage Researcher
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of Beja and co-promoted by ESEUC. The fellowship is funded by the Compete2030 program and co-funded by the European Union and ESEUC, under the following conditions: Scientific Area: Nutrition/Food Science
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Information unfixed term Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 101097101 Is the Job related to staff
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the EU Research Framework Programme? NextGenerationEU Reference Number C644915664-00000026 Is the Job related to staff position within a Research Infrastructure? No Offer Description Interest grant
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 22 days ago
the scientific area of the application. National, foreign or stateless Ph.D. researchers may apply to the position. Cumulatively, the candidate should have the following academic profile: PhD in Computer
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10 Nov 2025 Job Information Organisation/Company Instituto de Telecomunicações Research Field Engineering » Electrical engineering Computer science » Other Engineering » Other Researcher Profile
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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
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of Beja and co-promoted by ESEUC. The fellowship is funded by the Compete2030 program and co-funded by the European Union and ESEUC, under the following conditions: Scientific Area: Tourism / Marketing and