Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- University of Washington
- University of Minnesota
- Rutgers University
- KINGS COLLEGE LONDON
- University of Lund
- The Ohio State University
- King's College London
- Medical College of Wisconsin
- Oak Ridge National Laboratory
- Pennsylvania State University
- Technical University of Denmark
- University of Colorado
- University of Nebraska Medical Center
- University of Oxford
- Washington University in St. Louis
- ;
- Cornell University
- George Washington University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- The University of Iowa
- University of California Irvine
- University of Twente (UT)
- VIB
- Yale University
- Duke University
- Indiana University
- Northeastern University
- THE UNIVERSITY OF HONG KONG
- University of Cambridge
- University of Kentucky
- University of Minnesota Twin Cities
- University of Nevada, Reno
- University of Utah
- ; Xi'an Jiaotong - Liverpool University
- Aarhus University
- Canadian Association for Neuroscience
- Czech Technical University in Prague
- Drexel University
- Emory University
- Fraunhofer-Gesellschaft
- Harvard University
- Heriot Watt University
- Institut Pasteur
- Iowa State University
- Los Alamos National Laboratory
- Loyola University
- McGill University
- NTNU - Norwegian University of Science and Technology
- New York University
- Rochester Institute of Technology
- SUNY University at Buffalo
- South Dakota Mines
- St George's University of London
- Stanford University
- Stony Brook University
- Texas A&M AgriLife
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- UNIVERSITY OF HELSINKI
- University of British Columbia
- University of California, Los Angeles
- University of Liverpool
- University of London
- University of Nevada Las Vegas
- University of North Texas at Dallas
- University of Nottingham
- University of Oregon
- University of Saskatchewan
- University of Sydney
- University of Texas at Dallas
- University of Vienna
- University of Virginia
- Weill Cornell Medicine
- Western Norway University of Applied Sciences
- 69 more »
- « less
-
Field
-
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
-
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
-
implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
-
discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping surgeons to achieve more
-
Are you ready to discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping
-
, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
-
. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
-
. 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 us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term