Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Description of the host entity/department Université Côte d’Azur (UniCA) coordinates the consortium that forms the 3IA Côte d’Azur Institute, one of four Interdisciplinary Institutes for Artificial Intelligence
-
About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of...
-
the rich Dynabio environment, including possibilities to closely interact with the local 3IA cluster of excellence on Artificial Intelligence, as well as local research centers specialized in machine
-
their statistical extensions, the deep latent variables models (DLVM) [1], allowed clear advances in Artificial Intelligence in the last 5 years, they clearly suffer from an overall weak knowledge
-
variables models (DLVM) [1], allowed clear advances in Artificial Intelligence in the last 5 years, they clearly suffer from an overall weak knowledge of their theoretical foundations and behavior, in
-
mechanistic models to understand the role of rat and flea population dynamics in shaping the seasonality of plague epidemics. Brault et al, PNAS, 2025 (online 9th June 2025) Artificial Intelligence
-
candidate to undertake research in the area of cognitive networking for 5G/6G networks, with a focus area on connected and autonomous mobility. This research will explore how artificial intelligence can be
-
We are looking for a postdoc to join the Interdisciplinary Institutes for Artificial Intelligence 3IA Cˆote d’Azur, in the beatiful French Riviera, to work with 3IA Chair Emanuele Natale on problems
-
Co-affiliation with the German Research Centre for Artificial Intelligence (DFKI) Saarbrücken The Luxembourg Institute of Health (LIH) is a leading precision medicine institute, connecting clinical
-
. Communication efficient learning of deep networks from decentralized data. In Artificial Intelligence and Statistics, PMLR, 2017. [4] Rieke, N., Hancox, J., Li, W. et al. The future of digital health with