Sort by
Refine Your Search
-
range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic
-
, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
-
methods, complemented by simulations of beta-decay chains relevant to post-fission energy release. Neural networks and other machine learning techniques will accelerate the discovery of radiation-resistant
-
within a Research Infrastructure? No Offer Description The Internet of Things (IoT) paradigm is driving a massive increase in the generation of multimodal data on tiny, resource-constrained devices
-
required staff training, process redesign and collaboration among diverse experts to adapt systems and practices. Consequently, new tools and methods were developed to support organisations (Bhalavat et al
-
to simulate urban processes and support decision-making. While UDTs are increasingly adopted by municipalities, their use remains largely expert-driven, limiting their potential as participatory infrastructures
-
within a Research Infrastructure? No Offer Description The design process of complex systems must guarantee not only the functional correctness of the implemented system, but also its safety, dependability
-
within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP) benchmarks often prioritize leaderboard
-
to compute matrix elements to be used in the study of electroweak processes, as for instance beta decay, both in the hadronic and in the leptonic sectors. The Ph.D. student will become an expert in the use
-
of effectiveness shifts when the objective is functional rather than purely hedonic. By leveraging AI to process the complexity of multi-modal data, this project aims to provide a robust, evidence-based toolkit