Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Toronto
- SAIT Polytechnic
- McGill University
- University of Saskatchewan
- Nature Careers
- Ryerson University
- Canadian Association for Neuroscience
- Dalhousie University
- National Research Council Canada
- Northern Alberta Institute of Technology
- University of Waterloo
- Carleton University
- Koziarski Lab - The Hospital for Sick Children
- Mount Royal University
- Simon Fraser University
- University of Northern British Columbia
- Université Laval
- 8 more »
- « less
-
Field
-
qualifications, the need to acquire experience, previous experience, and previous satisfactory employment under the provisions of this collective agreement. Application Procedure: For detailed information
-
: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
-
Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 3 days ago
completed projects, preferably with publicly available repositories. Experience with deep learning frameworks such as PyTorch and JAX. Hands-on experience in developing and training deep learning models
-
Professor Arbel’s lab in the context of a grant focused on developing multi-modal causal deep learning models to predict future disability progression and treatment response in Multiple Sclerosis
-
to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
-
The expected pay for this position is $70,000 per year + benefits. AI and Deep Learning for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University
-
: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
-
the field 6) Leading or contributing to manuscript writing 7) Deep learning and familiar with large language models Salary will reflect the candidate’s experience, skills, and qualifications. Knowledge
-
applicant must have a Ph.D. in computer science, and at least 5 years of post-doctoral research experience. Candidates with specific experience in machine learning methods such Deep Learning will be strongly
-
scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement