Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Istituto Italiano di Tecnologia
- University of Bologna
- Fondazione Bruno Kessler
- Humanitas Research Hospital
- AI4I
- CERIC-ERIC
- EURAC
- Institute of Hematology and Center for Hemato-Oncology Research
- LINKS Foundation - Leading Innovation & Knowledge for Society
- Politecnico di Milano
- Scuola Superiore Sant'Anna
- Tor Vergata University of Rome
- University of Perugia
- Università degli Studi dell'Insubria
- Università degli Studi di Palermo
- Università degli Studi di Verona
- 6 more »
- « less
-
Field
-
, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
-
related to development environments such as Python and PyTorch, as well as existing libraries for predictive maintenance. The research will also extend to digital vision systems that may be used to broaden
-
(UNIBO, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra Project Context: The selected candidate will join the ERC Starting Grant project “CUE-GO – Contextual Radio Cues for Enhancing
-
people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE The iCub Tech Facility (https://www.iit.it/research/facilities/icub-tech ) at the Istituto Italiano di
-
field (obtained within the last 3 years). Technical Expertise: Solid experience in processing Optical and SAR imagery and geospatial analysis. Programming: Proficiency in Python for EO data science (e.g
-
technical requirements working knowledge of at least one programming language (C, C++, NodeJS, Python); good knowledge of versioning tools (i.e. Git), Linux environment and programming Preferential technical
-
techniques with target publications in conferences such CAV, TACAS, FM, and RV; Software development of FM Unit’s tools (https://fm.fbk.eu/category/tools.html ); Participation in research and development
-
-theoretic models is a plus; Proficiency in programming (e.g., Python, Matlab, C++); Strong interest in fundamental research on autonomous systems and decision-making. No prior knowledge of contextual radio
-
Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
-
benefits from the collaboration with several universities and research centres worldwide, most often with the closer universities of Genova and Verona. AIGO is part of ELLIS (https://ellis.eu