4 phd-learning positions at Università degli Studi di Trieste

Disentangling heteRogeneity in autism: from EArly behavioral markers to individual treatment responses through a Machine learning approach (DREAM)

machine learning and deep learning approaches, the heterogeneity of autism under the lens of early motor and gestural development, trying to identify: (i) new early behavioural markers of autism risk; (ii

Call for Applications Admission to Doctoral Programmes – 40th cycle (A.Y. 2024/2025), run by the University of Trieste

Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for applications for admission to the PhD programmes of the University

Optimization Strategies for Testing and Improvement of Digital Twins

realistic, yet controllable, testing environments for the digital twin. The candidate will also investigate how to solve multi-objective optimization problems to learn interpretable models aiming at improving

Calculation of drag reduction in graphene through neural-network molecular dynamics simulations

drag reduction in graphene with a combination of electronic structure methods and large-scale atomistic molecular dynamics (MD) powered by machine learning and high-performance computing (HPC). The first