Mohsen Yoosefzadeh N.
Closing soon
2 weeks ago
Postdoctoral Fellow in Plant Breeding, Multi-Omics, Molecular Biology, and Artificial Intelligence University of Guelph in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 10, 2026
Country
Canada
University
University of Guelph

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About this position
We are recruiting a Postdoctoral Fellow to join the Dry Bean Breeding & Computational Biology Program in the Department of Plant Agriculture at the University of Guelph (Ontario Agricultural College), Canada.
The position sits at the intersection of plant breeding, multi-omics, molecular biology, and artificial intelligence. The successful candidate will work on dry bean, adzuki bean, and related pulse crops, integrating genomic, transcriptomic, metabolomic, phenomic, and environmental data with hybrid AI approaches.
Research activities will connect computational discovery with molecular analysis, field research, greenhouse studies, and practical breeding outcomes. The project aims to address major crop-improvement challenges such as disease resistance, seed quality, nutritional value, yield stability, and climate resilience.
Location: University of Guelph, Ontario, Canada.
Start date: September 2026, with some flexibility.
Deadline: August 10, 2026.
Applications are reviewed as they are received, so early submission is encouraged. The post indicates that full details on qualifications and required application materials are provided in the attached posting.
This is a strong fit for researchers with interests in agriculture, biology, computer science, environmental science, and quantitative data-driven crop improvement.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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