Sort by
Refine Your Search
-
and the European Regional Development Fund (FEDER), via the Thematic Program Innovation and Digital Transition (COMPETE 2030), under Portugal 2030 and the European Union Operation No. 16992, operation
-
Development Fund (ERDF) through the Thematic Programme Innovation and Digital Transition (COMPETE 2030), Portugal 2030, and the European Union | Operation no. 15871, operation code in the Funds Portal
-
, must mention the financial support of the European Regional Development Fund (ERDF), through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030. VII - Selection Methods
-
this call will be funded by Innovation Investments Strand 1 (I3-2023-INV1) program. VI.V - Information and publicity about the funding: In all R&D activities directly or indirectly funded by the grant, namely
-
Week 35 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
-
27 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Engineering » Computer engineering Computer
-
- Grant location: Department of Computer Engineering III- Scientific supervision/coordination of the grant: Joel Perdiz Arrais IV - Work Plan / Goals to be achieved: The scholarship holder will develop
-
Development Fund (ERDF) through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030| reference of operation no. 21343, operation COMPETE2030-FEDER-02219400 on Balcão dos Fundos. VI.V
-
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 The University of Coimbra opens a call for the
-
-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision