Positions: 1

Research Grant (BI)

• BI|2026/843 - Project SYNTHESIS

  Type of position: Research Grant (BI)
  Duration: 3 months
  Deadline to apply: 2026-02-04
  Description
  

  ONE (1) research grant for students with MSc degree with reference number BI|2026/843 under the scope of the Project SYNTHESIS - Mosaic integration and synthetic generation of multi-omic data for the discovery of precision cancer medicines – refª LISBOA2030-FEDER-00868200, funded by operation nº 15030, Balcão dos Fundos, FEDER (Fundo Europeu de Desenvolvimento Regional) and FCT (Fundação para a Ciência e Tecnologia), is now available under the following conditions:

  OBJECTIVES | FUNCTIONS 

  This role focuses on developing generative deep learning models to integrate large-scale proteomics datasets. You will leverage multimodal integration (spatial glycomics, imaging, multi-omics), image co-registration, and Graph Neural Networks to identify biomarkers and model disease progression. Responsibilities include designing bioinformatics pipelines, building generative and classical ML models, executing robust validation workflows (including transfer learning), and processing spatial MALDI-IMS data for independent interpretation and hypothesis generation.

  
  Contact email: bolsas@inesc-id.pt