Postdoctoral Research Fellow, Medical Imaging and

5 days ago


Saskatoon, Canada University of Saskatchewan Full time

**Postdoctoral Research Fellow, Medical Imaging and Machine Learning**:
**Primary Purpose**:
We are seeking an exceptional Postdoctoral Research Fellow to join our interdisciplinary team at the forefront of machine learning, computer vision, medical image analysis, and cardiovascular imaging. This position offers an exciting opportunity to contribute to cutting-edge projects that aim to revolutionize the diagnosis and treatment of cardiovascular diseases through advanced imaging technologies.

**Nature of Work**:

- Develop novel machine learning algorithms for the analysis of medical imaging data.
- Collaborate with a team of clinicians, computer scientists, and engineers to integrate these technologies into clinical workflows.
- Publish research findings in high-impact journals and present at international conferences.
- Contribute to the development of grant proposals.

**Accountabilities**:
**Education**
- ** **PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field.

**Experience**:

- Proven track record of publications in high-impact journals and conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, MICCAI, and Nature Medicine.

**Skills**:

- Strong background in medical image analysis, computer vision, and machine learning.
- Excellent programming skills in programming languages including Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
- Proficiency in version control systems, such as GitHub/Git.
- Excellent communication and collaboration skills.

**To Apply**:
**Department**: Medical Imaging
**Status**: Term 12 months with the possibility of extension
**Employment Group**: Post-Doctoral Fellows - PSAC
**Full Time Equivalent (FTE)**: Negotiable, up to 1.0 FTE
**Salary Family (if applicable)**:
**Salary Phase/Band**:Not Applicable
**Posted Date**: 6/25/2024
**Closing Date**:open until filled
**Number of Openings**:1
**Work Location**:May be eligible for hybrid work under the terms of USask's Alternative Workspace Guidelines



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