Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Politecnico di Milano
- ;
- Università degli Studi di Genova
- Edmund Mach Foundation
- John Cabot University (JCU);
- AI4I
- Bocconi University
- Dipartimento DIA - Università di Parma
- Hult
- Politecnico di Torino
- Scuola IMT Alti Studi di Lucca
- Scuola Internazionale Superiore di Studi Avanzati
- Scuola Superiore Sant'Anna
- Università degli Studi di Siena
- Università degli Studi di Torino
- Università degli Studi di Trento
- Università degli Studi di Udine
- Università di Verona
- 8 more »
- « less
-
Field
-
of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
-
the next generation of secure agentic AI systems through cutting-edge research in adversarial machine learning and formal verification. The Role As a research scientist, you will contribute to frontier AI
-
fluorescence microscopy (SMLM, SIM), integrating physical-mathematical models, machine learning, and compressed sensing for accurate and efficient reconstructions. Applicants must submit a project implementing
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of the research program is to develop machine learning techniques
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of the research program is to develop machine learning techniques
-
the RELAB laboratory for the testing and development of machines for indoor air conditioning. Specifically, it concerns the analysis of the machines' noise production, both for internal and external equipment
-
, per il conferimento di un contratto di ricerca a tempo determinato, ai sensi dell’art. 22 della legge n. 240/2010, Where to apply Website https://www.uniud.it/it/ateneo-uniud/concorsi-bandi-uniud
-
-dimensional statistics. Where to apply Website https://pica.cineca.it/sissa/cdr-fe-fisi-22-2025 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER
-
scientific imaging (TR-FLIM, HSI, ISM), designing mathematical and unsupervised learning algorithms for nonlinear inverse problems, with reliable reconstructions even with limited data. Where to apply Website
-
, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data