Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Politecnico di Milano
- Istituto Italiano di Tecnologia
- University of Bologna
- Fondazione Bruno Kessler
- Libera Università di Bolzano
- Nature Careers
- University of Macerata
- Università degli studi di Ferrara
- 3rdplace
- AI4I
- Bocconi University
- C.N.R. - IEIIT
- CNR Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR-CNR)
- Dipartimento di Informatica Sapienza Università di Roma
- EURAC
- Gran Sasso Science Institute
- INFN - Istituto Nazionale di Fisica Nucleare
- Istituto SPIN del Consiglio Nazionale delle Ricerche
- Sapienza Università di Roma
- University of Trento
- Università degli Studi Roma Tre
- Università degli Studi dell'Insubria
- Università degli Studi di Cagliari
- Università degli Studi di Padova
- Università degli Studi di Siena
- Università degli studi di Firenze - Dipartimento di biologia
- Università di Bologna
- Università di Pisa (UNIPI)
- Università di Pisa - Dipartimento di Informatica
- università degli studi di udine
- 20 more »
- « less
-
Field
-
of Computing Sciences. The project focuses on studying systems where multiple machine learning algorithms interact on shared platforms, aiming to characterize their behavior and build theoretical foundations
-
application of advanced machine learning techniques, including deep learning approaches, aimed at identifying complex patterns of host immune responses to vaccination. The research activities will also include
-
for more than 12 months in the 36 months immediately prior to your recruitment. Skills: Strong interest in AI/Machine Learning, Bayesian modeling and decision-making. Benefits Competitive Salary: Living
-
activity is aimed at developing tools based on machine learning techniques for the automatic analysis of privacy policy pages. CUP: B83C24003210001 Where to apply Website https://xup.di.uniroma1.it
-
Union within the project “A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions (CoEvolution)”, - CUP F23C24000210006 – selection code: ipd_10D_0426_09/IINF
-
therapeutic and rehabilitation patient monitoring, through the implementation of software platforms and predictive models based on Artificial Intelligence and Machine Learning techniques. Developing solutions
-
of innovative multicriteria models for the management, integration, and enhancement of geological and geophysical data, using geostatistical, geomatic, and, where appropriate, machine learning techniques
-
Infrastructure? No Offer Description Organization / Company: Università di Pisa (UNIPI) Department: Dipartimento di Informatica (Department of Computer Science) Research Field: Computer Science; Machine Learning
-
3 Apr 2026 Job Information Organisation/Company C.N.R. - IEIIT Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
-
for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial