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
- University of Southern Denmark
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- King's College London
- McGill University
- Pennsylvania State University
- Technical University of Munich
- ;
- Aalborg University
- Aarhus University
- Argonne
- CNRS
- Cornell University
- Inria, the French national research institute for the digital sciences
- King Abdullah University of Science and Technology
- Michigan Technological University
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Oak Ridge National Laboratory
- Royal College of Art
- San Diego State University
- Stanford University
- UNIVERSITY OF HELSINKI
- Umeå universitet stipendiemodul
- University of Birmingham
- University of Miami
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Oslo
- University of Turku
- Université de Caen Normandie
- Wayne State University
- Western Norway University of Applied Sciences
- mdw - University of Music and Performing Arts Vienna
- 31 more »
- « less
-
Field
-
for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health
-
Experience with imaging data processing, anatomical or functional registration, and 3D planning/reconstruction for recording trajectories Required Application Materials: CV One-page statement of interest
-
languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques
-
biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts
-
point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
-
asset. Familiarity with quantitative text analysis procedures is considered an advantage. Familiarity with digital tools, including computational methods for textual analysis, will be an advantage
-
. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology
-
). The successful applicant will initially be involved with DOD-funded clinical projects focused on assessment of bone quality using new methods based on digital tomosynthesis imaging, and identifying strategies