Both the postdoc and intern will work on a French National Research Funded project UniGEM (Unified Inference for Genomic Epidemiology of Malaria). Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate parameters of malaria epidemiology.
The postdoc will be responsible for the simulation of synthetic data used to train, develop, and test the neural network. Meanwhile, the intern will engineer the features input into the neural network.
Both posts require strong programming skills. Interns interested in the artificial intelligence / epidemiology interface are encouraged to apply as the internship could potentially progress into the PhD funded through the Paris Artificial Intelligence Research Institute.
For more information, view the Institut Pasteur job postings below:
