Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Bocconi University
- Edmund Mach Foundation
- Human Technopole
- University of Trento
- Fondazione Bruno Kessler
- Istituto Nazionale di Fisica Nucleare
- Nature Careers
- Politecnico di Milano
- UNIVERSITA’ DEGLI STUDI DI PARMA
- University of Padova
- Università degli Studi di Padova - Dipartimento di Scienze Statistiche
- Università degli Studi di Trento
- Università degli Studi di Udine
- Università di Pisa
- 4 more »
- « less
-
Field
-
25 Sep 2025 Job Information Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 23 Oct 2025 - 12:00 (UTC) Type of...
-
Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
-
10 Oct 2025 Job Information Organisation/Company Università degli Studi di Udine Research Field Engineering » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 24 Oct 2025 - 13:00...
-
and data structures for AI kernels; Scalable systems for machine learning (training, inference, edge); HW-SW co-design for computer vision on novel architectures; Desired skills Advanced knowledge in
-
, 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
-
conducted in English, the following knowledge will be verified (maximum 65 points): Programming skills (Python, R, or equivalent) (maximum 20 points); Artificial intelligence, machine learning, and/or large
-
. The project aims to integrate machine learning, artificial intelligence (AI), and statistical modeling to analyze spatial transcriptomic data at a sub-cellular resolution, with the goal of advancing biomedical
-
, leveraging modern approaches from environmental seismology and machine learning. It will involve: Collecting continuous underwater acoustic records at multiple locations throughout the Lagoon (records several
-
, Biological Anthropology, Artificial Intelligence, Neurophilosophy, Neuroaesthetics,etc.) ○ Brain disorders(Psychiatry, Neurology, Rehabilitation Medicine, etc.) ○ Brain Engineering(Brain-machine interface
-
sustainability reporting). Particular areas of investigation will include the study of accounting fraud and the analysis of the potential offered by big data and machine learning techniques in the processing and