Plant Computer Vision Bioinformatician
2 days ago
Oxford Regional District NS, Cumberland County, NS; Nova Scotia, Canada
Ellison Institute of Technology
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
Develop computer vision pipelines for plant phenotyping as a Computational Biologist collaborating with EIT research teams in Oxford.
The Bioinformatics platform team builds computational tools alongside phenotyping and research groups. This position combines image analysis, multi-modal integration, and software development across microscopy, growth chamber, and in-field data. You will help connect plant traits with molecular signatures and support biological insights.
Key Responsibilities
Build image segmentation and feature extraction pipelines Develop phenotyping approaches across biological scales Integrate imaging and omics datasets Prepare high-quality annotations across data modalities Generate insights informing plant trait engineering
Requirements:
PhD or equivalent research experience in Computer Vision or related field Apply computer vision methods to biological datasets Extract features from imaging and omics data Build multi-modal integration pipelines Clearly communicate findings with interdisciplinary collaborators Combine computer vision, imaging, and omics expertise to advance computational plant phenotyping and research at EIT Oxford. #J-18808-Ljbffr
Key Responsibilities
Build image segmentation and feature extraction pipelines Develop phenotyping approaches across biological scales Integrate imaging and omics datasets Prepare high-quality annotations across data modalities Generate insights informing plant trait engineering
Requirements:
PhD or equivalent research experience in Computer Vision or related field Apply computer vision methods to biological datasets Extract features from imaging and omics data Build multi-modal integration pipelines Clearly communicate findings with interdisciplinary collaborators Combine computer vision, imaging, and omics expertise to advance computational plant phenotyping and research at EIT Oxford. #J-18808-Ljbffr