Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- SciLifeLab
- CNRS
- University of Groningen
- Chalmers University of Technology
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- INESC TEC
- Inria
- Stockholm University
- TU Dresden
- Uppsala universitet
- ; University of Exeter
- ; University of Leicester
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- Delft University of Technology
- Ghent University
- INSA Rennes
- Instituto Superior de Agronomia
- Max Planck Institute of Psychiatry, Munich
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tallinn University of Technology
- Technical University of Denmark
- UiT The Arctic University of Norway
- University of Nottingham
- University of Primorska
- Université Rennes II
- Uppsala University
- Vrije Universiteit Amsterdam (VU)
- 23 more »
- « less
-
Field
-
, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
-
spoken and written professional English is further essential, likewise is the ability to teach effectively in English or Swedish expected. Proficiency in medical image processing, image registration, 3D
-
Our main goal is to unlock ultrasound imaging inside organs that are still inaccessible to existing clinical ultrasound scanners, in particular bones and the adult human brain. Our ambition is to
-
energy. Determining the intricate structure of the polycrystals is a laborious and restrictive task, and only a handful of measurement techniques are capable of fully imaging material microstructure. Laser
-
laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project will be to shortcut the current search process in classify crystallographic orientation. This will be
-
About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle
-
interpreting the correlations and causalities identified. Data-driven AI approaches guided by models will initiate a well-known virtuous cycle process ranging from explanation (as a capability of AI tools
-
sophisticated image processing pipeline [M20]. It can also comprise a set of distributed sensors [R10]. Current smart vision systems embed optics, Complementary Metal-Oxide-Semiconductor (CMOS) sensors, color
-
imaging, including CT and MRI scans, is critical in the management of nearly all types of cancer. These technologies are integral from the initial detection and diagnosis to staging, treatment planning
-
Stig Brøndbo 4th June 2024 Languages English English English Faculty of Science and Technology PhD Fellow in deep learning for spatio-temporal medical image analysis Apply for this job See