Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Washington
- University of North Carolina at Chapel Hill
- University of Minnesota
- Nature Careers
- Rutgers University
- KINGS COLLEGE LONDON
- The Ohio State University
- University of Lund
- Washington University in St. Louis
- ;
- Oak Ridge National Laboratory
- Baylor College of Medicine
- Duke University
- Medical College of Wisconsin
- Pennsylvania State University
- University of California Irvine
- University of Miami
- Cornell University
- King's College London
- Technical University of Denmark
- Texas A&M University
- University of Colorado
- University of Maryland, Baltimore
- University of Nebraska Medical Center
- University of Oxford
- CNRS
- Emory University
- George Washington University
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- Stony Brook University
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- The University of Iowa
- Umeå University
- University of Cambridge
- University of South Carolina
- University of Twente (UT)
- VIB
- Wayne State University
- Yale University
- Canadian Association for Neuroscience
- Harvard University
- Indiana University
- McGill University
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saint Louis University
- Texas A&m Engineering
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Kentucky
- University of London
- University of Minnesota Twin Cities
- University of Nevada, Reno
- University of Oregon
- University of Oslo
- University of Twente
- University of Utah
- University of Virginia
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- Aarhus University
- Adam Mickiewicz University, Poznań
- Czech Technical University in Prague
- Drexel University
- Fraunhofer-Gesellschaft
- Fred Hutchinson Cancer Center
- Heriot Watt University
- KNAW
- Los Alamos National Laboratory
- Loyola University
- Medical Research Council
- Michigan Technological University
- NTNU - Norwegian University of Science and Technology
- New York University
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- Rochester Institute of Technology
- SUNY University at Buffalo
- South Dakota Mines
- St George's University of London
- Texas A&M AgriLife
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Umeå universitet
- Umeå universitet stipendiemodul
- University of British Columbia
- University of California
- University of Central Florida
- University of Copenhagen
- University of Florida
- University of Liverpool
- University of Luxembourg
- University of Nevada Las Vegas
- University of North Texas at Dallas
- University of Nottingham
- University of Oklahoma
- University of Saskatchewan
- University of Sydney
- 90 more »
- « less
-
Field
-
applications to medical imaging and robotic systems. In this role, you will contribute to the development and implementation of cutting-edge AI solutions for real-time image-guided medical applications. You will
-
of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 6 days ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
-
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
-
Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
-
Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
-
intelligence-based automated interpretation of medical images, and new knowledge on the human visual system into the screening mammography reading process. Combining these new capabilities and new knowledge has
-
dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
-
laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system