Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Université Laval
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2 weeks ago
Fully Funded PhD in Evolutionary Genomics of Forest Pathogens at Université Laval Université Laval in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 1, 2026
Country
Canada
University
Université Laval

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About this position
Fully Funded PhD Opportunity in Evolutionary Genomics of Forest Pathogens at Université Laval, Québec, Canada.
The Laboratory of Ecological and Applied Forest Pathology (LEAP) is recruiting a PhD student to study how forest fungal pathogens adapt to global environmental change. The project combines population genomics, landscape genomics, evolutionary ecology, and comparative genomics to investigate climate-driven adaptation, adaptive genes, and genotype–environment associations in Ophiostoma species across eastern North America.
Funding: Fully funded PhD for 3 years, with eligibility for additional competitive scholarships. The position also mentions a collaborative research environment and opportunities to attend national and international conferences.
Eligibility highlights: A Master’s degree in Bioinformatics, Genomics, Evolutionary Biology, or a related field is required. Applicants should have a strong interest in evolutionary genomics and forest pathology. Programming skills in R, Python, and Bash are expected; laboratory experience is an asset.
Application deadline: August 1, 2026. The starting date is Fall 2026 or as soon as possible.
How to apply: Email your CV, transcripts, and referees’ contact information to [email protected].
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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