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University of Guelph

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PhD in Dry Bean Breeding and Computational Biology at University of Guelph University of Guelph in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Canada

University

University of Guelph

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Keywords

Computer Science
Agriculture
Biology
Plant Breeding
Artificial Intelligence
Computational Biology
Phenomics
Disease Resistance
Aerial Surveying
Genomic
Spectral Imaging
Statistics
Bioinformatic

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About this position

PhD opening at the University of Guelph in the Dry Bean Breeding & Computational Biology program, Department of Plant Agriculture (Ontario Agricultural College), with Dr. Mohsen Yoosefzadeh Najafabadi.

The project focuses on integrating genomics, phenomics, and AI to improve disease resistance in adzuki bean (Vigna angularis) against soybean cyst nematode and bacterial blights.

Research activities include a mix of field, greenhouse, lab, and computational work, including drone and spectral imaging, genotyping-by-sequencing, GWAS, candidate marker discovery, and AI-assisted disease prediction.

The student will also contribute to the breeding pipeline, field trials, and knowledge-mobilization materials for growers and industry partners.

Applicants should have a Master's degree in plant breeding, genetics, plant science, molecular biology, bioinformatics, data science, plant pathology, or a related field. Experience with R/Python, image analysis, GIS, or sequencing data is a strong asset.

Location: Guelph, Ontario, Canada.

To apply, email [email protected] with the subject line “PhD Adzuki Genomics Phenomics – YOUR NAME”.

Funding details

Available

What's required

Master's degree in plant breeding, genetics, plant science, molecular biology, bioinformatics, data science, plant pathology, or a related field. Strong assets include experience with R/Python, image analysis, GIS, or sequencing data.

How to apply

Email [email protected] with the subject line 'PhD Adzuki Genomics Phenomics – YOUR NAME'.

More information can be found here

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