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Aarhus University

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Postdoc in Computational Genomics Aarhus University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Paid postdoctoral position for 2.5 years, with salary and terms agreed under the Danish collective labour agreement; basic salary steps 4-8.

Deadline

Dec 1, 2026

Country flag

Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Agriculture
Deep Learning
Biology
Nanopore Sequencing
High Performance Computing
Long-read Sequencing
Plant Genomics
Bioinformatic
Large Language Models
ML

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Posted Yesterday

About this position

Aarhus University’s Department of Agroecology is offering a postdoctoral position in computational genomics within a research environment focused on computational genomics, bioinformatics, and AI-driven plant research.

The project centres on the development of computational methods that integrate pangenomic information and large language model (LLM)-based approaches. The appointed postdoc will work on targeted long-read sequencing and high-resolution gene-space assembly in complex plant genomes, combining experimental work with genomic datasets, method development, and validation of sequencing workflows and assembly quality.

The position sits in the Department of Agroecology at Aarhus University in Slagelse, Denmark, and is affiliated with a research group that links plant genomics with advanced computation and AI. The department describes a broad research environment with professional laboratories, greenhouses, semi-field and field-scale facilities, advanced computing capacity, and an extensive national and international researcher network.

The postdoc is expected to contribute to teaching activities and to publish research results in high-impact scientific journals. The advert also highlights a collaborative, international and supportive workplace with strong emphasis on inclusion, teamwork, and research impact.

Funding details

Paid postdoctoral position for 2.5 years, with salary and terms agreed under the Danish collective labour agreement; basic salary steps 4-8.

What's required

Applicants must have a PhD in Bioinformatics, Computational Biology, Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline, with a deep focus on plant genomics, computational plant biology, or AI applications in plant science. Documented experience in computational genomics, bioinformatics, pangenomic data analysis, machine learning, deep learning, or LLM-based model development is required. Strong collaborative skills, initiative, and motivation for a scientific career are expected. Preferred experience includes Oxford Nanopore or other long-read sequencing, LLM training/fine-tuning/evaluation, software development for genomic sequence analysis, high-performance computing, algorithm optimization, large-scale genomic datasets, pangenomic analysis, structural variation, genome assembly, and teaching/supervision at BSc and MSc level. Applicants must submit the application in English with a CV, degree certificate, publication list, future research plans, research activity information, teaching portfolio, and verified previous teaching experience if applicable.

How to apply

Apply through Aarhus University’s recruitment system via the job advertisement on the university website. Submit the required documents in English before the deadline. Shortlisting will be used, and selected candidates may be sent to an expert assessment committee.

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