Assistant Professor Computational Oncology
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Computational oncology researchers can pursue a tenure-track Assistant Professor appointment at the University of Calgary, with advanced computing and artificial intelligence expertise.
The successful candidate will join Biochemistry and Molecular Biology and the Arnie Charbonneau Cancer Institute. The program will integrate complex datasets using AI/ML, in silico modeling, software development, or data engineering. Research may address tumour classification, treatment response, recurrence, or tumour behaviour.
Key Responsibilities:
- Direct a cross-cutting computational oncology research program
- Integrate and interpret large, complex, multiscale datasets
- Develop computational methodologies, software, or reproducible data pipelines
- Participate in undergraduate and graduate teaching
- Mentor trainees and contribute to university 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 and university-level teaching effectiveness
- Eligibility for a Tier II Canada Research Chair nomination
Develop computational approaches for precision cancer medicine through research, teaching, mentorship, and collaboration at UCalgary.
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