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Aarhus University

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.

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Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Evolutionary Biology
Environmental Science
Agriculture
Plant Biology
Deep Learning
Biology
Comparative Genomics
Functional Genomics
Software Development
Web Development
Omics
Plant Genomics
Statistics
Bioinformatic
ML

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.

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Professors

Assistant Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Cell Biology

Comparative Genomics

Evolutionary Biology

Deep Learning