Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Rutgers University
- University of Twente
- Delft University of Technology (TU Delft)
- Heriot Watt University
- Pennsylvania State University
- University of Southern Denmark
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- KINGS COLLEGE LONDON
- McGill University
- Nature Careers
- Technical University of Munich
- University of London
- ;
- Aalborg University
- Aarhus University
- Argonne
- Brookhaven Lab
- Cornell University
- Inria, the French national research institute for the digital sciences
- King Abdullah University of Science and Technology
- King's College London
- Leiden University
- Michigan Technological University
- NEW YORK UNIVERSITY ABU DHABI
- San Diego State University
- UNIVERSITY OF HELSINKI
- University of Basel
- University of Birmingham
- University of Miami
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Oslo
- University of Utah
- Wayne State University
- Western Norway University of Applied Sciences
- mdw - University of Music and Performing Arts Vienna
- 29 more »
- « less
-
Field
-
Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
-
Vacancies Postdoc position on deep learning based medical imaging for medical robot Key takeaways In this role, you will help develop and implement cutting-edge AI solutions for real-time, image
-
Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate
-
. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
-
About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
-
About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
-
the imperial collection (quire structure, copyists, watermarks, ruling), potentially including opera scores from other Viennese sources from the period under investigation; Ordering of digital images
-
22 Aug 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
-
for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
-
multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications of these research will be aimed at enhanced modeling of hydraulic fracturing and carbon sequestration