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the development of digital skills, enhancing national talent and attracting global talent". Measure 9 "Promote a greater training posture in Vocational and University Training oriented to AI". BDNS: 653587. Job
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the development of digital skills, enhancing national talent and attracting global talent". Measure 9 "Promote a greater training posture in Vocational and University Training oriented to AI". BDNS: 653587. Job
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, Darwin Core) Collaborate with experts in biodiversity, taxonomy, and collections at the SDEI and SGN to align text mining approaches with digitization strategies, collection development, and legacy data
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chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media. The centre produces outputs, such as groundbreaking prototypes
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technological solutions to societal challenges like AI, fake news, echo chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 23 days ago
-FEDER-00690900, Operation No. 15800, funded by COMPETE2030 and national funds (FCT) under Call for Applications No. MPr-2023-12. Scientific Area: Developmental Neurosciences 1. Project summary and work
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Offer Description #5102 Public Notice - International Selection Procedure PhD Scientific Researcher Recruitment (Initial Stage Researcher) FCiências.ID/2025/DL57/ cE3c/12 FCiências.ID - Associação para a
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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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high capital expenditure and low operational costs. Therefore, an installed capacity tailored at peak demand is not cost effective, while extending the annual operation period is advantageous for meeting
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that provides timely and effective support to real-life policy processes. The successful candidate will become part of an interdisciplinary team and support the development of data and model assets which are used