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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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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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international scientific journals and present your work at major conferences; · The possibility to contribute to technological innovation and patent development; · The opportunity to build a strong scientific
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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