Assistant Professor Computational Oncology
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Key Responsibilities
- Direct a cross-cutting computational oncology research program
- Integrate and interpret large, complex, multiscale datasets
- Develop computational methodologies for cancer diagnosis and treatment
- Participate in undergraduate and graduate teaching
- Mentor trainees and contribute to service activities
Requirements:
- PhD or equivalent qualification
- Minimum two years of postdoctoral research fellowship experience
- Evidence or promise of original, high-quality research
- Evidence or promise of funding ability
- Evidence or promise of university-level teaching effectiveness Develop computational oncology research using AI/ML, data engineering, and modelling at the University of Calgary.
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Assistant Professor Computational Oncology
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