Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Northeastern University
- Macquarie University
- Harvard University
- Nanyang Technological University
- Carnegie Mellon University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- UiT The Arctic University of Norway
- University of British Columbia
- ;
- CMI - Chr. Michelsen Institute
- Cornell University
- Dalhousie University
- King Abdullah University of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National University of Singapore
- Nature Careers
- The California State University
- University of Texas at Austin
- Victoria University
- Wayne State University
- 12 more »
- « less
-
Field
-
on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
-
The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 9 hours ago
deep learning, with demonstrated application to health or medicine A compelling, independently motivated research vision Strong written and oral communication skills; ability to engage with clinical and
-
: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
-
reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
-
computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
-
environments. • Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data, reinforcement learning, spatial modelling, or real-time nowcasting. • Demonstrated
-
models • Strong experience in spatio-temporal deep learning and ensemble techniques • Proven ability to publish research in international peer-reviewed journals • Experience with interdisciplinary
-
Internal Number: 7036499 Postdoctoral Research Fellow, Moderna - Clinical & Quantitative Pharmacology About the Opportunity JOB SUMMARY: We are seeking to hire two Postdoctoral Research Associates through
-
learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over