Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Northeastern University
- University of Kansas Medical Center
- University of British Columbia
- University of Oslo
- INESC TEC
- Nanyang Technological University
- UiT The Arctic University of Norway
- Bowdoin College
- Johns Hopkins University
- King Abdullah University of Science and Technology
- NTNU Norwegian University of Science and Technology
- UNIVERSITY OF HELSINKI
- University of Algarve
- Zintellect
- Carnegie Mellon University
- Dalhousie University
- Durham University
- ETH Zürich
- Florida Atlantic University
- Florida International University
- INESC ID
- NTNU - Norwegian University of Science and Technology
- Queen's University Belfast
- Tampere University
- Technical University of Munich
- The University of Chicago
- UCL;
- UNIVERSITY OF SURREY
- University College London (UCL)
- University of Birmingham
- University of Bristol
- University of Colorado
- University of Helsinki
- University of Michigan - Flint
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Science and Technology of China
- University of Texas Rio Grande Valley
- University of Texas at Austin
- University of Turku
- 31 more »
- « less
-
Field
-
cycle or non-award courses of Higher Education Institutions. Preference factors: Experience in research projects, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and
-
for SHM and post processing techniques e.g. computer vision Experience in NLFEA of concrete structures Impact loading To be successful at shortlisting stage, please ensure you clearly evidence in your
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
-
operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
-
Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
-
Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
-
Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
-
supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
-
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
-
environments that aims to address how distributed sensing, fibre-optic monitoring, environmental observations, drone- and satellite-based data, operational infrastructure datasets, and/or machine learning can be