Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Postdoc in Generative Machine Learning for Biomedical Data | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 21.02.2026 Join a place where
-
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
-
who are in possession of a PhD, or an equivalent degree attained abroad, in the subject chosen at the time of their application from among the 8 indicated. Eligible destination country/ies for fellows
-
. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
-
://pica.cineca.it/sns Requirements Additional Information Eligibility criteria Both Italian and non-Italian applicants may take part in the selection who are in possession of a PhD, or an equivalent degree attained
-
in the selection who are in possession of a PhD, or an equivalent degree attained abroad, in the subject chosen at the time of their application from among the 2 indicated. Eligible destination country
-
https://pica.cineca.it/sns Requirements Additional Information Eligibility criteria Both Italian and non-Italian applicants may take part in the selection who are in possession of a PhD, or an equivalent
-
maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
-
dependable large-scale software systems, integrating expertise in: Software Engineering Machine Learning & MLOps Robotics & Cyber-Physical Systems Cloud & HPC ecosystems Interdisciplinary research. As a
-
and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep Learning