Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of Civil and Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies
-
of Civil and Mechanical Engineering (DTU Construct). In this role, you will develop a deep learning–based image analysis framework designed for in-line monitoring of concrete and its constituent materials
-
University), is an interdisciplinary team of researchers and practitioners from physics, computer science, human-computer interaction, management, economics, psychology, cognitive science and creativity
-
, physics, computer science, applied mathematics, or similar Required competences Strong background in image processing and analysis, especially Deformable image registration and 3D segmentation methods
-
. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment
-
programme in optical imaging for health technology, exploring emerging and enabling technologies and their potential applications in healthcare. This includes integrating novel concepts such as advanced
-
Synergy Programme and carried out in collaboration between Aarhus University, the Weizmann Institute of Science, and collaborators in Argentina. QuantuMRI aims to bridge quantum sensing and MRI to achieve
-
, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep
-
for materials science and biotechnology; however, neutron scattering and imaging studies are strongly flux-limited. Our aim is to develop a neutron optics prototype, a so-called nested Wolter condenser
-
ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of