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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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. The project builds on our previous work on the dissemination of peptidoglycan fragments across the body from the gut. We are looking for somebody that has highly transversal expertise in biochemistry
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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; Jacob et al., Cell Stem Cell 2022; Di Carlo et al., Nature Immunology 2023). Building on these findings, we aim at identifying novel mechanisms regulating the tumor microenvironment and antitumor immunity