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| May 10, 2026 | PhD positionUniversité Grenoble Alpes · CEA Grenoble · Starting October 2026 Integrative AI models for therapeutic peptide designCombining experimental fitness landscapes with generative structural design. Host lab: BGE — Biosciences & Bioengineering for Health Therapeutic peptides are an emerging class of biologics, with nearly one hundred approved drugs, capable of modulating protein–protein interactions that conventional small molecules cannot reach. This project develops AI-driven computational methods to design peptides against two targets of major public health relevance. Influenza is estimated by the WHO to cause 290,000 to 650,000 respiratory deaths globally each year, and antimicrobial resistance (AMR) was associated with an estimated 4.95 million deaths worldwide in 2019 (1.27 million directly attributable), and is designated by the WHO among the top ten global public health threats. In both cases, peptides offer a promising but under-exploited therapeutic modality, and the bottleneck is no longer synthesis or screening but the design of candidates that simultaneously satisfy affinity, selectivity and safety constraints. The methods developed in this PhD aim to address this bottleneck and, beyond the two case studies, to produce a general framework transferable to other peptide and protein design problems. |
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| Mar 01, 2026 | Hackathon on Predictive Modeling in Systems PharmacologyCEA Grenoble, 17-20 March 2026 Join us for an intensive 3.5 days Hackathon designed to bridge the gap between theory and practice in Systems Pharmacology. Participants will explore diverse modeling frameworks and put them into action through collaborative and interdisciplinary challenges. Open to members of CANVAS and DIGPHAT consortia, aiming to foster interdisciplinary collaboration and cross-border expertise across Europe. |
| Sep 15, 2025 | Stage M2 |
| Nov 10, 2024 | New manuscript in PLoS Computational BiologyInference and design of antibody specificity: From experiments to models and back |
