Master 2 internship

Short description of the host team:

The Systems Biomedicine team devises computational strategies to transform the deluge of multimodal biomedical data into knowledge for genetic diseases. The team is composed of a dozen of interdisciplinary scientists, involved in various local, national and international projects. The offices are in the Marseille Medical Genetics unit, in the Faculty of Medicine of La Timone.

Description of the internship project:

This research project aims to develop novel computational approaches for integrating temporal data within biological networks. While current molecular network analyses have advanced our understanding of complex cellular systems, they typically lack temporal context, a critical dimension in biological processes, as exemplified by the amount of longitudinal cohort studies, age-related information, or time-series data produced.

In this stay, the objective will be to evaluate methods to integrate such temporal information with multiomics biological data. To this goal, different strategies will be tested, including creating and exploring time-stamped multilayer biological network layers, temporal graph convolutional networks, tensor factorization or autoencoders. The main application will be related to the identification of aging-dependent disease biomarkers and drug repurposing opportunities.

Interdisciplinarity and disciplines involves:

The project will mostly involve data science and integration, as well as the use of machine learning and graph theory-based tools developed by the team. The application will be made on aging biology.

Expected skills:

- Programming skills in Python or R are necessary

- Fluency in English and writing skills are required

- Interest in data science is expected

- Familiarity with network science and/or omics data analysis is a plus

Applications can be sent directly to “anais.baudot – at – univ-amu.fr”. Please make sure your application includes a cover letter and a CV.

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