Sort by
Refine Your Search
-
Listed
-
Employer
- Consiglio Nazionale delle Ricerche - CNR
- Fondazione Bruno Kessler
- Scuola Internazionale Superiore di Studi Avanzati
- Università degli Studi di Trieste
- CONSIGLIO NAZIONALE DELLE RICERCHE - ISTITUTO DI LINGUISTICA COMPUTAZIONALE
- Consiglio Nazionale delle Ricerche (CNR)
- DIMES-UNICAL
- Politecnico di Milano
- Alma Mater Studiorum - Università di Bologna
- CMCC Foundation
- CNR - ISTITUTO DI CRISTALLOGRAFIA (IC)
- CNR - Istituto di Nanoscienze
- CNR-NANOTEC ROME INSTITUTE
- Dipartimento di Biologia e Biotecnologie - Sapienza Università di Roma
- Luiss Libera Università Internazionale degli Studi Sociali Guido Carli
- Nature Careers
- Scuola Superiore Sant'Anna
- Scuola Superiore Sant'Anna di Pisa
- UNIMORE
- UNIVERSITA DEGLI STUDI DI CAMERINO
- University of Trento
- University of Trento – Department of Information Engineering and Computer Science
- Università Ca' Foscari Venezia
- Università degli Studi Firenze
- Università degli Studi Roma Tre
- Università degli Studi di Padova
- Water Research Institute
- iGenius
- university of Naples “Federico II"
- 19 more »
- « less
-
Field
-
machine learning approaches to pancreatic ductal adenocarcinoma. Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country
-
Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The plan is to apply machine learning numerical methods for rapid
-
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
-
activity will consist in the development of high-performance and low-power algorithms and software for machine learning and artificial intelligence, with particular emphasis on edge computing environments
-
research in the field of Computer Vision, Image Analysis and Machine Learning. TeV’s focus is on the development of image and scene understanding techniques for Monitoring and Video Analytics, Semantic
-
Union / Next Generation EU Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of control and unsupervised/supervised machine learning algorithms for anomaly
-
Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study design and implementation of machine and deep learning and
-
Programme? H2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of human-machine interaction systems forse assisting the operator. The system will
-
impact the evolution of the Universe via machine learning methods; improvement of the estimation of the dark matter mass profile of galaxies and clusters with machine learning methods; estimation
-
data points that cannot be linearly separated. More generally, an overarching goal would be to design, develop and implement efficient combinatorial certifying algorithms for classification and learning