University of Calgary
3 days ago
Postdoctoral Researcher in Genotype-by-Environment Interactions in Beef Cattle University of Calgary in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
Initial appointment of 1.5 years (18 months), renewable depending on funding and performance. Salary is $60,000 CAD per annum plus University of Calgary Plan C health benefits. The post is described as part of a well-funded research program.
Country
Canada
University
University of Calgary
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About this position
Postdoctoral Researcher in Genotype-by-Environment Interactions in Beef Cattle at the University of Calgary (Foothills Campus, Calgary, Alberta, Canada).
This postdoctoral opportunity sits in the Reproduction and Early Life Laboratory in the Faculty of Veterinary Medicine, in collaboration with the Canadian Angus Association, and focuses on genotype-by-environment (GxE) interactions in Angus beef cattle. The project aims to quantify how environmental and management conditions affect the predictive value of genomic-enhanced expected progeny differences (GEPDs), and to develop Precision GEPDs that better reflect individual production settings.
The successful candidate will work with integrated genomic, phenotypic, environmental, spatial, and producer-reported management data for economically important Angus traits. Methods mentioned include reaction-norm models, mixed models, machine learning, AI-enabled approaches, geospatial analysis, and decision-support-tool development. The role also includes data curation, quality control, analysis, interpretation, knowledge translation, scientific presentations, and manuscript preparation.
Funding: 18-month initial appointment, renewable depending on funding and performance. Salary is $60,000 CAD per year plus University of Calgary Plan C health benefits.
Eligibility highlights: PhD (or equivalent doctoral-level training) in animal science, animal breeding and genetics, biostatistics, epidemiology, bioinformatics, or a closely related field. Strong quantitative skills and experience with large linked datasets, statistical modelling in R/Python/SAS, and familiarity with mixed models, genetic evaluation, reaction-norm models, or machine learning are expected. Experience with livestock production systems, genomic prediction, spatial/environmental data, reproducible workflows, and interdisciplinary collaboration is an asset.
How to apply: Email a single PDF to [email protected] with subject line Postdoc Application [Your Name]. Include a cover letter, CV with publications, and contact details for two referees. Applications are reviewed immediately and continue until the position is filled.
Funding details
Initial appointment of 1.5 years (18 months), renewable depending on funding and performance. Salary is $60,000 CAD per annum plus University of Calgary Plan C health benefits. The post is described as part of a well-funded research program.
What's required
A PhD in animal science, animal breeding and genetics, biostatistics, epidemiology, bioinformatics, or a closely related discipline is required, or equivalent doctoral-level training. Completion of the doctorate, or anticipated completion, within two years before appointment is preferred. Applicants should have experience with large, complex, linked datasets; strong quantitative and analytical skills; and statistical modelling in R, Python, SAS, or similar software. Familiarity with mixed models, genetic evaluation, reaction-norm models, machine learning, or related quantitative approaches is expected, along with knowledge of livestock production systems. Experience with data management, reproducible workflows, database systems, spatial/environmental data integration, genomic prediction, and interdisciplinary teamwork are strong assets. Excellent written and oral English communication skills are required.
How to apply
Submit a single PDF application by email to [email protected] with the subject line 'Postdoc Application [Your Name]'. Include a cover letter, CV with publications, and contact information including email addresses for two referees. Applications are reviewed immediately until the position is filled.
More information can be found here
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