GIMM’s institutional projects represent structuring initiatives that strengthen our mission, identity, and contribution to society. They are highly diverse projects, spanning activities from people development and technological modernisation to scientific innovation and public engagement. As fundamental elements of our work, it is important to make these projects visible, as well as GIMM’s commitment to quality and innovation, social responsibility, and the creation of collective value.
Projects funded by the Programa Recuperação e Resiliência – PRR and Fundação para a Ciência e Tecnologia (Intermediate Beneficiary)
Projects Details:
| Funding | Programa Recuperação e Resiliência (PRR) Fundação para a Ciência e a Tecnologia (FCT) |
| Thematic Area | Digital Transition |
| Notice | N.º 01/C05-i13/2025 – Programa Plurianual de Financiamento de Unidades de I&D 2023/2024 |
| Project | UID/PRR/6357/2025 |
| Implementation Period | 01/01/2025 to 30/06/2026 |
| Beneficiary | Gulbenkian Institute for Molecular Medicine (GIMM) |
| Objectives | Update and restructuring of scientific research units, including their digital transformation, through support for equipment acquisition. |
| Description | Project UID/PRR/06357/2025 is funded under investment C05-i13 – Scientific Research Units. It was approved by the Fundação para a Ciência e Tecnologia (Intermediate Beneficiary) of the Estrutura de Missão Recuperar Portugal under Notice 01/C05-i13/2025 – Multi-annual Funding Programme for R&D Units 2023/2024. The support aimed at equipment acquisition for the renewal and/or modernisation of scientific research units, namely – Aquatic, Bioimaging, Flow Cytometry, Digital, Histopathology, Metabolic, Electron Microscopy, Proteomics, Rodents, and Digital Technologies. |
| Purchased software | . Amira 3D 2025.1.1 for EM Life Sciences . Imaris 11.0 Single Full license . Leica LAS X FLIM offline analysis software license . Emitu Platform (software list updated on July 14, 2026) . Spectronaut ® (software list updated on July 30, 2026) |
| DOI | sciproj.ptcris.pt/177357UID/ |
| Financial Support | 5 689 172,82€ (100%) |
| Funding | Programa Recuperação e Resiliência (PRR) Fundação para a Ciência e a Tecnologia (FCT) |
| Thematic Area | Digital Transition |
| Notice | N.º 02/C05-i13/2025 – EQUIPAR+2: Investimento Nacional para o Reforço de Equipamento Científico em Unidades I&D |
| Project | UID/PRR2/06357/2025 |
| Implementation Period | 01/01/2025 to 30/06/2026 |
| Beneficiary | Gulbenkian Institute for Molecular Medicine (GIMM) |
| Objectives | Update and restructuring of scientific research units, including their digital transformation, through support for equipment acquisition. |
| Description | Project UID/PRR2/06357/2025 is funded under investment C05-i13 – Scientific Research Units. It was approved by the Fundação para a Ciência e Tecnologia (Intermediate Beneficiary) of the Estrutura de Missão Recuperar Portugal under Notice No. 02/C05-i13/2025 – EQUIPAR+2: National Investment for the Reinforcement of Scientific Equipment in R&D Units. The support aimed at equipment acquisition for the technological reinforcement of the following platforms – Rodent and Digital Technologies. |
| DOI | sciproj.ptcris.pt/178202UID/ |
| Financial Support | 572 484,22€ (100%) |
| Funding | Programa Recuperação e Resiliência (PRR) Fundação para a Ciência e a Tecnologia (FCT) |
| Thematic Area | Resiliência – Ciência Mais Digital (RE-C05-i08) |
| Notice | Nº 04/C05-i08/2024 |
| Project | 2024.07694.IACDC |
| Implementation Period | 01/05/2025 to 31/01/2026 |
| Beneficiary | Gulbenkian Institute for Molecular Medicine (GIMM) |
| Objectives | Development of a Natural Language Processing (NLP) infrastructure supported by Large Language Models (LLMs) to automate the extraction and structuring of data from unstructured text within a biobank context, aligning it with established biomedical ontologies. |
| Description | The project aims to develop an innovative solution to transform unstructured clinical and biomedical information into normalised, interoperable, and semantically enriched data. Drawing on large-scale language models (LLMs) and reference biomedical ontologies, automatic mechanisms for concept extraction, semantic annotation, and alignment between different controlled vocabularies will be created. The project aims to facilitate information sharing between institutions and strengthen data reuse in biomedical research, precision medicine, and the development of advanced predictive health analytics models. |
| DOI | sciproj.ptcris.pt/176771PRJ/ |
| Financial Support | 124.135,25€ (100%) |