2 Research technicians: Computational toxicologist and Predictive modeling expert (ref. MELIS-PSR-INDF-2023-01)

Computational toxicologist:
The successful candidate will be in charge of developing novel methodologies for assessing the reliability of toxicological risk assessments. The methods will be applied in the context of the development of Integrated Approaches to Testing and Assessment (IATAs), including in-silico and in-vitro methods, for diverse toxicological endpoints.

Predictive modeling expert:
The successful candidate will be in charge of developing predictive models for toxicological endpoints. The job will involve the extraction of relevant data from public data sources and private data repositories, the curation of the data and the building of predictive models using Machine Learning algorithms (e.g., Random Forest, Support Vector Machines, Neural Networks). The candidate will have the responsibility to extend current state-of-the-art methodologies to meet the needs of the project.