Aarhus University
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Postdoctoral Researcher in Comparative Genomics and Machine Learning for Plant Biology Aarhus University in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral research position funded through the Novo Nordisk Foundation Emerging Investigator grant project "Driving innovation in crop resilience through Comparative QTLomics." The post is a paid research appointment; no stipend amount, tuition, or other financial details are provided.
Country
Denmark
University
Aarhus University

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About this position
Postdoctoral Researcher in comparative genomics and machine learning for plant biology at Aarhus University, Center for Quantitative Genetics and Genomics.
This postdoctoral opening sits in a research project on crop resilience, combining plant genomics, bioinformatics, comparative genomics, multi-omics, evolutionary biology, and machine learning. The project aims to identify genes and conserved patterns associated with stress resilience in crops under challenges such as drought, heat, salinity, and other environmental stresses.
The position is part of the Novo Nordisk Foundation Emerging Investigator grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected researcher will contribute to: applying LLMs to collect and standardise functional information; developing computational tools that integrate evolutionary and functional information using comparative genomics and deep learning; applying methods across crops; identifying candidate genes linked to agronomic traits; and contributing to software and web development.
Keywords: plant genomics, phylogenomics, bioinformatics, comparative multi-omics, machine learning, deep learning, LLMs, crop resilience, functional genomics, evolutionary biology.
Eligibility highlights: the post is aimed at a postdoctoral researcher with strong computational and genomics interests. The post does not mention a deadline, stipend amount, or specific language requirements in the text provided.
How to apply: use the project link for full details and application instructions. Review the role carefully and submit materials through the linked page if you are interested. The LinkedIn post also asks readers to share the opportunity with suitable candidates.
Funding details
Postdoctoral research position funded through the Novo Nordisk Foundation Emerging Investigator grant project "Driving innovation in crop resilience through Comparative QTLomics." The post is a paid research appointment; no stipend amount, tuition, or other financial details are provided.
What's required
Postdoctoral-level candidate with expertise or strong interest in comparative genomics, machine learning, plant biology, bioinformatics, multi-omics integration, and evolutionary biology. The post emphasizes experience with computational tool development, deep learning approaches, LLM-based information extraction, and software/web development. No formal degree or language requirements are stated in the post.
How to apply
Open the project information link for full details. Review the position description and follow the application instructions on the linked page. Share the post with interested candidates if appropriate.
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