73 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of British Columbia
- McGill University
- Nature Careers
- Canadian Association for Neuroscience
- Ryerson University
- University of Saskatchewan
- University of Waterloo
- Mount Royal University
- Natural Sciences and Engineering Research Council of Canada
- Northern Alberta Institute of Technology
- Pacific Institute for the Mathematical Sciences
- Universite de Sherbrooke
- University of Victoria
- 3 more »
- « less
-
Field
-
training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
-
Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
sustainable development. Collaborations with Mathematics and Computer Science The post-doc will also affiliate with Lund's Centre for Mathematical Sciences, renowned for research in machine learning
-
. 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
-
Overview On this page Objective The Canada Postdoctoral Research Award (CPRA) program recognizes and supports the next generation of outstanding innovators, knowledge workers, creative thinkers and
-
Excellent organizational, communication, and teamwork skills Experience with dynamic causal modelling (DCM), machine learning or related computational approaches are an asset Roles and Responsibilities
-
? Postdoctoral Research Opportunities in Science (PROS) at Baylor College of Medicine allows you to meet faculty and trainees from multiple labs and learn about our resources in the Texas Medical Center in
-
this will include: Demonstrated expertise in data analysis and simulation Familiarity with C++; and proficiency in the use of ROOT and Geant4, and interest in machine learning techniques Knowledge
-
worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability of the developed prototype hardware implementation. Qualifications: PhD in Electronics/Computer Engineering
-
Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
-
. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base