Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Fondazione Bruno Kessler
- Istituto Italiano di Tecnologia
- Università degli Studi di Padova
- 3rdplace
- ALMA MATER STUDIORUM - Università di Bologna
- CERIC-ERIC
- Fondo Italiano per la Scienza - Università Bocconi
- Nature Careers
- Niccolò Cusano University
- Politecnico di Milano
- University of Bologna
- University of Pisa
- Università degli Studi di Modena e Reggio Emilia
- Università degli Studi di Trento
- 4 more »
- « less
-
Field
-
for enabling AI at the edge, focusing on one or all of the following aspects: i) hardware-aware scaling, model compression, and novel approaches for diverse low-power edge devices in distributed and
-
low-temperature device integration. The project will investigate strategies to enhance electrical functionality through the incorporation of conductive biocompatible fillers while preserving biodegradability and
-
): Secondment 1: Universidad del Rosario (Bogota, Colombia), 4 Months (starting approximately at Month #24), implementing selected climate modelling equations in LCA calculation tools to overcome LCA limits in
-
compliance, by identifying some of the most important aspects contributing to the compliance, creating the environment for supporting the collaboration of different professional roles, and evaluating it in
-
within a Research Infrastructure? No Offer Description Neural networks are known to be universal approximants for any function in an arbitrary number of variables. This property has been exploited in
-
2026/2027 – 42nd Cycle (hereunder called Selection Announcement). The PhD Course table (Appendix 1) specifies the fields of research, plus candidate selection criteria and methods so that a ranking may
-
the research topics, procedures and selection criteria for candidates for the purposes of drawing up the ranking lists. Where to apply Website https://pica.cineca.it/unipd/dottorati-tec/ Requirements Additional
-
information gain while minimizing testing hours to ensure these new technologies are reliable, sustainable, and affordable. Key Responsibilities Research & Development: Develop algorithms to estimate survival
-
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
-
comparative analysis of peripheral indexes (including galvanic skin response, heart rate variability, and eye-tracking) against traditional surveys to identify points of convergence and divergence between