10 machine-learning "CNR" uni jobs in Italy

PRIN 2022 iSafety: Leveraging artificial intelligence techniques to improve occupational and process safety in the iron and steel industry

2024 CS: Developing Machine Learning-based Solutions for Detecting Anomalous Behaviors in Smart Industries Requirements Additional Information Eligibility criteria Eligible destination country/ies

Computational authorship analysis techniques based on machine learning and their applications to cultural heritage

authorship analysis based on machine learning and applying them to case studies from cultural heritage Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows

Project TOGETHER “Sustainable geothermal energy: resource geophysical assessment and citizens’ awareness for two test areas of Southern Italy”

Infrastructure? No Offer Description Massive analysis of geophysical data also through the implementation of Machine-Learning algorithms Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree

PREdicting Induced Seismic EVENTs with Physics-Informed Machine Learning (PREVENT)

analysis for seismic source identification. Creation and archiving of experimental datasets. Characterization of physical and frictional properties of analog materials. Machine learning and deep learning

PRIN 2022 2022LMHTET complexity, disorder and fluctuations: spin glass physics and beyond, cineca code 2022LMHTET CUP B53D23004340006 - BANDO PRIN 2022 Resp. Scientifico Luca Leuzzi

like spin-glasses, neural networks and optical systems in random media. Statistical inference, machine learning and artificial intelligence. Numerical approaches to resolution of stochastic dynamic

Study and implementation of techniques for 2D and 3D data capture and processing through machine learning for diagnostic, monitoring and digitization, in the field of cultural heritage and ecological

1 May 2024 Job Information Organisation/Company CNR - ISTI Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1

Call NANO AR 17-2024 MO PNRR Multiscale modeling of nanoparticles functionalized with DNA peptides to detect viral glycoproteins in human serum

Networks and Machine Learning, even if they will not be considered a prerequisite, they will be evaluated positively; Good programming skill (ad es. Fortran, C, C++, python); High level knowledge of oral and

BANDO ICAR- 004-2024-PA PNRR Progetto PRIN “Study for a tool for DEsign, COntrol and COmmissioning of Lighting Control systems” (DECOCOLS)

of machine learning models for environmental data analysis and optimal sensors positioning under the scientific responsibility of Ing. Patrizia Ribino. Requirements Research FieldComputer science

BANDO N. 400.12 IIT PNRR

at least three years' experience in techniques for collecting and analyzing data from Social Media; Machine Learning algorithms, Big Data technologies and nosql databases, or possession of a PhD or PhD

BANDO N. 400. 13 IIT PNRR

and Social Media; • Machine Learning and Deep Learning algorithms; • Complex Network Analysis Tools; • Knowledge of programming languages such as Java, C++, Python c)  knowledge of English