Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- McGill University
- University of British Columbia
- University of Toronto
- The University of British Columbia (UBC)
- Northern Alberta Institute of Technology
- Universite de Sherbrooke
- Dalhousie University
- Government of Canada
- Institut national de la recherche scientifique (INRS)
- Mount Allison University
- Ryerson University
- SAIT Polytechnic
- University of Saskatchewan
- University of Victoria
- 4 more »
- « less
-
Field
-
: Technical Skills in the following categories are necessary: Strong background in image processing techniques. Experience with AI, machine learning and deep learning algorithms, particularly in computer vision
-
required. Programming skills are not necessary, but experience in genomic research and a broad knowledge of methods and algorithms behind genomic resources is required (e.g. next-generation sequencing
-
-based prediction. This includes instrumenting a high-power APS torch with video and acoustic sensors, developing machine learning algorithms for feature extraction, and building predictive models
-
of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
-
applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
-
and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
-
candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
-
media, newsletters, and event promotion. Ability to research and adapt to evolving social media trends, algorithms, and digital marketing techniques. Experience creating and managing content calendars and
-
learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
-
learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred