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SISSA in Trieste, Italy, invites applications for a Research and Training Fellowship in Physics. The project focuses on modelling via multimodal variational autoencoder architectures of single-cell multi-omic data sets, with a strong emphasis on interdisciplinary collaboration and research communication.
Candidates should hold a Master’s degree in Physics or a related subject, have experience in machine learning and analysis of biological data, and demonstrate English proficiency at least B2;
29/09/2026 - 12:00 to 31/12/2026 - 13:00
14/10/2026 - 13:00
Open
Multi-omic generative modelling
Prof. Guido Sanguinetti
Research activities: Modelling via multimodal VAE architectures of single-cell multi-omic data sets
Physics
Research and training fellowship